MCP Ruby SDK

The official Ruby SDK for Model Context Protocol servers and clients.

Installation

Add this line to your application's Gemfile:

gem 'mcp'

And then execute:

$ bundle install

Or install it yourself as:

$ gem install mcp

You may need to add additional dependencies depending on which features you wish to access.

Building an MCP Server

The MCP::Server class is the core component that handles JSON-RPC requests and responses. It implements the Model Context Protocol specification, handling model context requests and responses.

Key Features

• Implements JSON-RPC 2.0 message handling
• Supports protocol initialization and capability negotiation
• Manages tool registration and invocation
• Supports prompt registration and execution
• Supports resource registration and retrieval
• Supports stdio & Streamable HTTP (including SSE) transports
• Supports notifications for list changes (tools, prompts, resources)
• Supports roots (server-to-client filesystem boundary queries)
• Supports sampling (server-to-client LLM completion requests)
• Supports cursor-based pagination for list operations
• Supports server-side cancellation of in-flight requests (notifications/cancelled)

Supported Methods

• initialize - Initializes the protocol and returns server capabilities
• ping - Simple health check
• tools/list - Lists all registered tools and their schemas
• tools/call - Invokes a specific tool with provided arguments
• prompts/list - Lists all registered prompts and their schemas
• prompts/get - Retrieves a specific prompt by name
• resources/list - Lists all registered resources and their schemas
• resources/read - Retrieves a specific resource by name
• resources/templates/list - Lists all registered resource templates and their schemas
• resources/subscribe - Subscribes to updates for a specific resource
• resources/unsubscribe - Unsubscribes from updates for a specific resource
• completion/complete - Returns autocompletion suggestions for prompt arguments and resource URIs
• roots/list - Requests filesystem roots from the client (server-to-client)
• sampling/createMessage - Requests LLM completion from the client (server-to-client)
• elicitation/create - Requests user input from the client (server-to-client)

Usage

Stdio Transport

If you want to build a local command-line application, you can use the stdio transport:

require "mcp"

# Create a simple tool
class ExampleTool < MCP::Tool
  description "A simple example tool that echoes back its arguments"
  input_schema(
    properties: {
      message: { type: "string" },
    },
    required: ["message"]
  )

  class << self
    def call(message:, server_context:)
      MCP::Tool::Response.new([{
        type: "text",
        text: "Hello from example tool! Message: #{message}",
      }])
    end
  end
end

# Set up the server
server = MCP::Server.new(
  name: "example_server",
  tools: [ExampleTool],
)

# Create and start the transport
transport = MCP::Server::Transports::StdioTransport.new(server)
transport.open

You can run this script and then type in requests to the server at the command line.

$ ruby examples/stdio_server.rb
{"jsonrpc":"2.0","id":"1","method":"ping"}
{"jsonrpc":"2.0","id":"2","method":"tools/list"}
{"jsonrpc":"2.0","id":"3","method":"tools/call","params":{"name":"example_tool","arguments":{"message":"Hello"}}}

Streamable HTTP Transport

MCP::Server::Transports::StreamableHTTPTransport is a standard Rack app, so it can be mounted in any Rack-compatible framework. The following examples show two common integration styles in Rails.

[!IMPORTANT] MCP::Server::Transports::StreamableHTTPTransport stores session and SSE stream state in memory, so it must run in a single process. Use a single-process server (e.g., Puma with workers 0). Multi-process configurations (Unicorn, or Puma with workers > 0) fork separate processes that do not share memory, which breaks session management and SSE connections.

When running multiple server instances behind a load balancer, configure your load balancer to use sticky sessions (session affinity) so that requests with the same Mcp-Session-Id header are always routed to the same instance.

Stateless mode (stateless: true) does not use sessions and works with any server configuration.

Rails (mount)

StreamableHTTPTransport is a Rack app that can be mounted directly in Rails routes:

# config/routes.rb
server = MCP::Server.new(
  name: "my_server",
  title: "Example Server Display Name",
  version: "1.0.0",
  instructions: "Use the tools of this server as a last resort",
  tools: [SomeTool, AnotherTool],
  prompts: [MyPrompt],
)
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server)

Rails.application.routes.draw do
  mount transport => "/mcp"
end

mount directs all HTTP methods on /mcp to the transport. StreamableHTTPTransport internally dispatches POST (client-to-server JSON-RPC messages, with responses optionally streamed via SSE), GET (optional standalone SSE stream for server-to-client messages), and DELETE (session termination) per the MCP Streamable HTTP transport spec, so no additional route configuration is needed.

Rails (controller)

While the mount approach creates a single server at boot time, the controller approach creates a new server per request. This allows you to customize tools, prompts, or configuration based on the request (e.g., different tools per route).

StreamableHTTPTransport#handle_request returns proper HTTP status codes (e.g., 202 Accepted for notifications):

class McpController < ActionController::API
  def create
    server = MCP::Server.new(
      name: "my_server",
      title: "Example Server Display Name",
      version: "1.0.0",
      instructions: "Use the tools of this server as a last resort",
      tools: [SomeTool, AnotherTool],
      prompts: [MyPrompt],
      server_context: { user_id: current_user.id },
    )
    # Since the `MCP-Session-Id` is not shared across requests, `stateless: true` is set.
    transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, stateless: true)
    status, headers, body = transport.handle_request(request)

    render(json: body.first, status: status, headers: headers)
  end
end

Configuration

The gem can be configured using the MCP.configure block:

MCP.configure do |config|
  config.exception_reporter = ->(exception, server_context) {
    # Your exception reporting logic here
    # For example with Bugsnag:
    Bugsnag.notify(exception) do |report|
      report.add_metadata(:model_context_protocol, server_context)
    end
  }

  config.around_request = ->(data, &request_handler) {
    logger.info("Start: #{data[:method]}")
    request_handler.call
    logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
  }
end

or by creating an explicit configuration and passing it into the server. This is useful for systems where an application hosts more than one MCP server but they might require different configurations.

configuration = MCP::Configuration.new
configuration.exception_reporter = ->(exception, server_context) {
  # Your exception reporting logic here
  # For example with Bugsnag:
  Bugsnag.notify(exception) do |report|
    report.add_metadata(:model_context_protocol, server_context)
  end
}

configuration.around_request = ->(data, &request_handler) {
  logger.info("Start: #{data[:method]}")
  request_handler.call
  logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
}

server = MCP::Server.new(
  # ... all other options
  configuration:,
)

Server Context and Configuration Block Data

server_context

The server_context is a user-defined hash that is passed into the server instance and made available to tool and prompt calls. It can be used to provide contextual information such as authentication state, user IDs, or request-specific data.

Type:

server_context: { [String, Symbol] => Any }

Example:

server = MCP::Server.new(
  name: "my_server",
  server_context: { user_id: current_user.id, request_id: request.uuid }
)

This hash is then passed as the server_context keyword argument to tool and prompt calls. Note that exception and instrumentation callbacks do not receive this user-defined hash. See the relevant sections below for the arguments they receive.

Request-specific _meta Parameter

The MCP protocol supports a special _meta parameter in requests that allows clients to pass request-specific metadata. The server automatically extracts this parameter and makes it available to tools and prompts as a nested field within the server_context.

Access Pattern:

When a client includes _meta in the request params, it becomes available as server_context[:_meta]:

class MyTool < MCP::Tool
  def self.call(message:, server_context:)
    # Access provider-specific metadata
    session_id = server_context.dig(:_meta, :session_id)
    request_id = server_context.dig(:_meta, :request_id)

    # Access server's original context
    user_id = server_context.dig(:user_id)

    MCP::Tool::Response.new([{
      type: "text",
      text: "Processing for user #{user_id} in session #{session_id}"
    }])
  end
end

Client Request Example:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "my_tool",
    "arguments": { "message": "Hello" },
    "_meta": {
      "session_id": "abc123",
      "request_id": "req_456"
    }
  }
}

Configuration Block Data

Exception Reporter

The exception reporter receives:

• exception: The Ruby exception object that was raised
• server_context: A hash describing where the failure occurred (e.g., { request: <raw JSON-RPC request> } for request handling, { notification: "tools_list_changed" } for notification delivery). This is not the user-defined server_context passed to Server.new.

Signature:

exception_reporter = ->(exception, server_context) { ... }

Around Request

The around_request hook wraps request handling, allowing you to execute code before and after each request. This is useful for Application Performance Monitoring (APM) tracing, logging, or other observability needs.

The hook receives a data hash and a request_handler block. You must call request_handler.call to execute the request:

Signature:

around_request = ->(data, &request_handler) { request_handler.call }

data availability by timing:

• Before request_handler.call: method
• After request_handler.call: tool_name, tool_arguments, prompt_name, resource_uri, error, client
• Not available inside around_request: duration (added after around_request returns)

[!NOTE] tool_name, prompt_name and resource_uri may only be populated for the corresponding request methods (tools/call, prompts/get, resources/read), and may not be set depending on how the request is handled (for example, prompt_name is not recorded when the prompt is not found). duration is added after around_request returns, so it is not visible from within the hook.

Example:

MCP.configure do |config|
  config.around_request = ->(data, &request_handler) {
    logger.info("Start: #{data[:method]}")
    request_handler.call
    logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
  }
end

Instrumentation Callback (soft-deprecated)

[!NOTE] instrumentation_callback is soft-deprecated. Use around_request instead.

To migrate, wrap the call in begin/ensure so the callback still runs when the request fails:

# Before
config.instrumentation_callback = ->(data) { log(data) }

# After
config.around_request = ->(data, &request_handler) do
  request_handler.call
ensure
  log(data)
end

Note that data[:duration] is not available inside around_request. If you need it, measure elapsed time yourself within the hook, or keep using instrumentation_callback.

The instrumentation callback is called after each request finishes, whether successfully or with an error. It receives a hash with the following possible keys:

• method: (String) The protocol method called (e.g., "ping", "tools/list")
• tool_name: (String, optional) The name of the tool called
• tool_arguments: (Hash, optional) The arguments passed to the tool
• prompt_name: (String, optional) The name of the prompt called
• resource_uri: (String, optional) The URI of the resource called
• error: (String, optional) Error code if a lookup failed
• duration: (Float) Duration of the call in seconds
• client: (Hash, optional) Client information with name and version keys, from the initialize request

Signature:

instrumentation_callback = ->(data) { ... }

Server Protocol Version

The server's protocol version can be overridden using the protocol_version keyword argument:

configuration = MCP::Configuration.new(protocol_version: "2024-11-05")
MCP::Server.new(name: "test_server", configuration: configuration)

If no protocol version is specified, the latest stable version will be applied by default. The latest stable version includes new features from the draft version.

This will make all new server instances use the specified protocol version instead of the default version. The protocol version can be reset to the default by setting it to nil:

MCP::Configuration.new(protocol_version: nil)

If an invalid protocol_version value is set, an ArgumentError is raised.

Be sure to check the MCP spec for the protocol version to understand the supported features for the version being set.

Exception Reporting

The exception reporter receives two arguments:

• exception: The Ruby exception object that was raised
• server_context: A hash containing contextual information about where the error occurred

The server_context hash includes:

• For tool calls: { tool_name: "name", arguments: { ... } }
• For general request handling: { request: { ... } }

When an exception occurs:

1. The exception is reported via the configured reporter
2. For tool calls, a generic error response is returned to the client: { error: "Internal error occurred", isError: true }
3. For other requests, the exception is re-raised after reporting

If no exception reporter is configured, a default no-op reporter is used that silently ignores exceptions.

Tools

MCP spec includes Tools which provide functionality to LLM apps.

This gem provides a MCP::Tool class that can be used to create tools in three ways:

1. As a class definition:

class MyTool < MCP::Tool
  title "My Tool"
  description "This tool performs specific functionality..."
  input_schema(
    properties: {
      message: { type: "string" },
    },
    required: ["message"]
  )
  output_schema(
    properties: {
      result: { type: "string" },
      success: { type: "boolean" },
      timestamp: { type: "string", format: "date-time" }
    },
    required: ["result", "success", "timestamp"]
  )
  annotations(
    read_only_hint: true,
    destructive_hint: false,
    idempotent_hint: true,
    open_world_hint: false,
    title: "My Tool"
  )

  def self.call(message:, server_context:)
    MCP::Tool::Response.new([{ type: "text", text: "OK" }])
  end
end

tool = MyTool

2. By using the MCP::Tool.define method with a block:

tool = MCP::Tool.define(
  name: "my_tool",
  title: "My Tool",
  description: "This tool performs specific functionality...",
  annotations: {
    read_only_hint: true,
    title: "My Tool"
  }
) do |args, server_context:|
  MCP::Tool::Response.new([{ type: "text", text: "OK" }])
end

3. By using the MCP::Server#define_tool method with a block:

server = MCP::Server.new
server.define_tool(
  name: "my_tool",
  description: "This tool performs specific functionality...",
  annotations: {
    title: "My Tool",
    read_only_hint: true
  }
) do |args, server_context:|
  Tool::Response.new([{ type: "text", text: "OK" }])
end

The server_context parameter is the server_context passed into the server and can be used to pass per request information, e.g. around authentication state.

Tool Annotations

Tools can include annotations that provide additional metadata about their behavior. The following annotations are supported:

• destructive_hint: Indicates if the tool performs destructive operations. Defaults to true
• idempotent_hint: Indicates if the tool's operations are idempotent. Defaults to false
• open_world_hint: Indicates if the tool operates in an open world context. Defaults to true
• read_only_hint: Indicates if the tool only reads data (doesn't modify state). Defaults to false
• title: A human-readable title for the tool

Annotations can be set either through the class definition using the annotations class method or when defining a tool using the define method.

[!NOTE] This Tool Annotations feature is supported starting from protocol_version: '2025-03-26'.

Tool Output Schemas

Tools can optionally define an output_schema to specify the expected structure of their results. This works similarly to how input_schema is defined and can be used in three ways:

1. Class definition with output_schema:

class WeatherTool < MCP::Tool
  tool_name "get_weather"
  description "Get current weather for a location"

  input_schema(
    properties: {
      location: { type: "string" },
      units: { type: "string", enum: ["celsius", "fahrenheit"] }
    },
    required: ["location"]
  )

  output_schema(
    properties: {
      temperature: { type: "number" },
      condition: { type: "string" },
      humidity: { type: "integer" }
    },
    required: ["temperature", "condition", "humidity"]
  )

  def self.call(location:, units: "celsius", server_context:)
    # Call weather API and structure the response
    api_response = WeatherAPI.fetch(location, units)
    weather_data = {
      temperature: api_response.temp,
      condition: api_response.description,
      humidity: api_response.humidity_percent
    }

    output_schema.validate_result(weather_data)

    MCP::Tool::Response.new([{
      type: "text",
      text: weather_data.to_json
    }])
  end
end

2. Using Tool.define with output_schema:

tool = MCP::Tool.define(
  name: "calculate_stats",
  description: "Calculate statistics for a dataset",
  input_schema: {
    properties: {
      numbers: { type: "array", items: { type: "number" } }
    },
    required: ["numbers"]
  },
  output_schema: {
    properties: {
      mean: { type: "number" },
      median: { type: "number" },
      count: { type: "integer" }
    },
    required: ["mean", "median", "count"]
  }
) do |args, server_context:|
  # Calculate statistics and validate against schema
  MCP::Tool::Response.new([{ type: "text", text: "Statistics calculated" }])
end

3. Using OutputSchema objects:

class DataTool < MCP::Tool
  output_schema MCP::Tool::OutputSchema.new(
    properties: {
      success: { type: "boolean" },
      data: { type: "object" }
    },
    required: ["success"]
  )
end

Output schema may also describe an array of objects:

class WeatherTool < MCP::Tool
  output_schema(
    type: "array",
    items: {
      properties: {
        temperature: { type: "number" },
        condition: { type: "string" },
        humidity: { type: "integer" }
      },
      required: ["temperature", "condition", "humidity"]
    }
  )
end

Please note: in this case, you must provide type: "array". The default type for output schemas is object.

MCP spec for the Output Schema specifies that:

• Server Validation: Servers MUST provide structured results that conform to the output schema
• Client Validation: Clients SHOULD validate structured results against the output schema
• Better Integration: Enables strict schema validation, type information, and improved developer experience
• Backward Compatibility: Tools returning structured content SHOULD also include serialized JSON in a TextContent block

The output schema follows standard JSON Schema format and helps ensure consistent data exchange between MCP servers and clients.

Tool Responses with Structured Content

Tools can return structured data alongside text content using the structured_content parameter.

The structured content will be included in the JSON-RPC response as the structuredContent field.

class WeatherTool < MCP::Tool
  description "Get current weather and return structured data"

  def self.call(location:, units: "celsius", server_context:)
    # Call weather API and structure the response
    api_response = WeatherAPI.fetch(location, units)
    weather_data = {
      temperature: api_response.temp,
      condition: api_response.description,
      humidity: api_response.humidity_percent
    }

    output_schema.validate_result(weather_data)

    MCP::Tool::Response.new(
      [{
        type: "text",
        text: weather_data.to_json
      }],
      structured_content: weather_data
    )
  end
end

Tool Responses with Errors

Tools can return error information alongside text content using the error parameter.

The error will be included in the JSON-RPC response as the isError field.

class WeatherTool < MCP::Tool
  description "Get current weather and return structured data"

  def self.call(server_context:)
    # Do something here
    content = {}

    MCP::Tool::Response.new(
      [{
        type: "text",
        text: content.to_json
      }],
      structured_content: content,
      error: true
    )
  end
end

Prompts

MCP spec includes Prompts, which enable servers to define reusable prompt templates and workflows that clients can easily surface to users and LLMs.

The MCP::Prompt class provides three ways to create prompts:

1. As a class definition with metadata:

class MyPrompt < MCP::Prompt
  prompt_name "my_prompt"  # Optional - defaults to underscored class name
  title "My Prompt"
  description "This prompt performs specific functionality..."
  arguments [
    MCP::Prompt::Argument.new(
      name: "message",
      title: "Message Title",
      description: "Input message",
      required: true
    )
  ]
  meta({ version: "1.0", category: "example" })

  class << self
    def template(args, server_context:)
      MCP::Prompt::Result.new(
        description: "Response description",
        messages: [
          MCP::Prompt::Message.new(
            role: "user",
            content: MCP::Content::Text.new("User message")
          ),
          MCP::Prompt::Message.new(
            role: "assistant",
            content: MCP::Content::Text.new(args["message"])
          )
        ]
      )
    end
  end
end

prompt = MyPrompt

2. Using the MCP::Prompt.define method:

prompt = MCP::Prompt.define(
  name: "my_prompt",
  title: "My Prompt",
  description: "This prompt performs specific functionality...",
  arguments: [
    MCP::Prompt::Argument.new(
      name: "message",
      title: "Message Title",
      description: "Input message",
      required: true
    )
  ],
  meta: { version: "1.0", category: "example" }
) do |args, server_context:|
  MCP::Prompt::Result.new(
    description: "Response description",
    messages: [
      MCP::Prompt::Message.new(
        role: "user",
        content: MCP::Content::Text.new("User message")
      ),
      MCP::Prompt::Message.new(
        role: "assistant",
        content: MCP::Content::Text.new(args["message"])
      )
    ]
  )
end

3. Using the MCP::Server#define_prompt method:

server = MCP::Server.new
server.define_prompt(
  name: "my_prompt",
  description: "This prompt performs specific functionality...",
  arguments: [
    Prompt::Argument.new(
      name: "message",
      title: "Message Title",
      description: "Input message",
      required: true
    )
  ],
  meta: { version: "1.0", category: "example" }
) do |args, server_context:|
  Prompt::Result.new(
    description: "Response description",
    messages: [
      Prompt::Message.new(
        role: "user",
        content: Content::Text.new("User message")
      ),
      Prompt::Message.new(
        role: "assistant",
        content: Content::Text.new(args["message"])
      )
    ]
  )
end

The server_context parameter is the server_context passed into the server and can be used to pass per request information, e.g. around authentication state or user preferences.

Key Components

• MCP::Prompt::Argument - Defines input parameters for the prompt template with name, title, description, and required flag
• MCP::Prompt::Message - Represents a message in the conversation with a role and content
• MCP::Prompt::Result - The output of a prompt template containing description and messages
• MCP::Content::Text - Text content for messages

Usage

Register prompts with the MCP server:

server = MCP::Server.new(
  name: "my_server",
  prompts: [MyPrompt],
  server_context: { user_id: current_user.id },
)

The server will handle prompt listing and execution through the MCP protocol methods:

• prompts/list - Lists all registered prompts and their schemas
• prompts/get - Retrieves and executes a specific prompt with arguments

Resources

MCP spec includes Resources.

Reading Resources

The MCP::Resource class provides a way to register resources with the server.

resource = MCP::Resource.new(
  uri: "https://example.com/my_resource",
  name: "my-resource",
  title: "My Resource",
  description: "Lorem ipsum dolor sit amet",
  mime_type: "text/html",
)

server = MCP::Server.new(
  name: "my_server",
  resources: [resource],
)

The server must register a handler for the resources/read method to retrieve a resource dynamically.

server.resources_read_handler do |params|
  [{
    uri: params[:uri],
    mimeType: "text/plain",
    text: "Hello from example resource! URI: #{params[:uri]}"
  }]
end

otherwise resources/read requests will be a no-op.

Resource Templates

The MCP::ResourceTemplate class provides a way to register resource templates with the server.

resource_template = MCP::ResourceTemplate.new(
  uri_template: "https://example.com/my_resource_template",
  name: "my-resource-template",
  title: "My Resource Template",
  description: "Lorem ipsum dolor sit amet",
  mime_type: "text/html",
)

server = MCP::Server.new(
  name: "my_server",
  resource_templates: [resource_template],
)

Roots

The Model Context Protocol allows servers to request filesystem roots from clients through the roots/list method. Roots define the boundaries of where a server can operate, providing a list of directories and files the client has made available.

Key Concepts:

• Server-to-Client Request: Like sampling, roots listing is initiated by the server
• Client Capability: Clients must declare roots capability during initialization
• Change Notifications: Clients that support roots.listChanged send notifications/roots/list_changed when roots change

Using Roots in Tools:

Tools that accept a server_context: parameter can call list_roots on it. The request is automatically routed to the correct client session:

class FileSearchTool < MCP::Tool
  description "Search files within the client's project roots"
  input_schema(
    properties: {
      query: { type: "string" }
    },
    required: ["query"]
  )

  def self.call(query:, server_context:)
    roots = server_context.list_roots
    root_uris = roots[:roots].map { |root| root[:uri] }

    MCP::Tool::Response.new([{
      type: "text",
      text: "Searching in roots: #{root_uris.join(", ")}"
    }])
  end
end

Result contains an array of root objects:

{
  roots: [
    { uri: "file:///home/user/projects/myproject", name: "My Project" },
    { uri: "file:///home/user/repos/backend", name: "Backend Repository" }
  ]
}

Handling Root Changes:

Register a callback to be notified when the client's roots change:

server.roots_list_changed_handler do
  puts "Client's roots have changed, tools will see updated roots on next call."
end

Error Handling:

• Raises RuntimeError if client does not support roots capability
• Raises StandardError if client returns an error response

Resource Subscriptions

Resource subscriptions allow clients to monitor specific resources for changes. When a subscribed resource is updated, the server sends a notification to the client.

The SDK does not track subscription state internally. Server developers register handlers and manage their own subscription state. Three methods are provided:

• Server#resources_subscribe_handler - registers a handler for resources/subscribe requests
• Server#resources_unsubscribe_handler - registers a handler for resources/unsubscribe requests
• ServerContext#notify_resources_updated - sends a notifications/resources/updated notification to the subscribing client

subscribed_uris = Set.new

server = MCP::Server.new(
  name: "my_server",
  resources: [my_resource],
  capabilities: { resources: { subscribe: true } },
)

server.resources_subscribe_handler do |params|
  subscribed_uris.add(params[:uri].to_s)
end

server.resources_unsubscribe_handler do |params|
  subscribed_uris.delete(params[:uri].to_s)
end

server.define_tool(name: "update_resource") do |server_context:, **args|
  if subscribed_uris.include?("test://my-resource")
    server_context.notify_resources_updated(uri: "test://my-resource")
  end
  MCP::Tool::Response.new([MCP::Content::Text.new("Resource updated").to_h])
end

Sampling

The Model Context Protocol allows servers to request LLM completions from clients through the sampling/createMessage method. This enables servers to leverage the client's LLM capabilities without needing direct access to AI models.

Key Concepts:

• Server-to-Client Request: Unlike typical MCP methods (client to server), sampling is initiated by the server
• Client Capability: Clients must declare sampling capability during initialization
• Tool Support: When using tools in sampling requests, clients must declare sampling.tools capability
• Human-in-the-Loop: Clients can implement user approval before forwarding requests to LLMs

Using Sampling in Tools:

Tools that accept a server_context: parameter can call create_sampling_message on it. The request is automatically routed to the correct client session:

class SummarizeTool < MCP::Tool
  description "Summarize text using LLM"
  input_schema(
    properties: {
      text: { type: "string" }
    },
    required: ["text"]
  )

  def self.call(text:, server_context:)
    result = server_context.create_sampling_message(
      messages: [
        { role: "user", content: { type: "text", text: "Please summarize: #{text}" } }
      ],
      max_tokens: 500
    )

    MCP::Tool::Response.new([{
      type: "text",
      text: result[:content][:text]
    }])
  end
end

server = MCP::Server.new(name: "my_server", tools: [SummarizeTool])

Parameters:

Required:

• messages: (Array) - Array of message objects with role and content
• max_tokens: (Integer) - Maximum tokens in the response

Optional:

• system_prompt: (String) - System prompt for the LLM
• model_preferences: (Hash) - Model selection preferences (e.g., { intelligencePriority: 0.8 })
• include_context: (String) - Context inclusion: "none", "thisServer", or "allServers" (soft-deprecated)
• temperature: (Float) - Sampling temperature
• stop_sequences: (Array) - Sequences that stop generation
• metadata: (Hash) - Additional metadata
• tools: (Array) - Tools available to the LLM (requires sampling.tools capability)
• tool_choice: (Hash) - Tool selection mode (e.g., { mode: "auto" })

Error Handling:

• Raises RuntimeError if client does not support sampling capability
• Raises RuntimeError if tools are used but client lacks sampling.tools capability
• Raises StandardError if client returns an error response

Notifications

The server supports sending notifications to clients when lists of tools, prompts, or resources change. This enables real-time updates without polling.

Notification Methods

The server provides the following notification methods:

• notify_tools_list_changed - Send a notification when the tools list changes
• notify_prompts_list_changed - Send a notification when the prompts list changes
• notify_resources_list_changed - Send a notification when the resources list changes
• notify_log_message - Send a structured logging notification message

Session Scoping

When using Streamable HTTP transport with multiple clients, each client connection gets its own session. Notifications are scoped as follows:

• report_progress and notify_log_message called via server_context inside a tool handler are automatically sent only to the requesting client. No extra configuration is needed.
• notify_tools_list_changed, notify_prompts_list_changed, and notify_resources_list_changed are always broadcast to all connected clients, as they represent server-wide state changes. These should be called on the server instance directly.

Notification Format

Notifications follow the JSON-RPC 2.0 specification and use these method names:

• notifications/tools/list_changed
• notifications/prompts/list_changed
• notifications/resources/list_changed
• notifications/cancelled
• notifications/progress
• notifications/message

Cancellation

The MCP Ruby SDK supports server-side handling of the MCP notifications/cancelled utility. When a client sends notifications/cancelled for an in-flight request, the server stops processing cooperatively and suppresses the JSON-RPC response for that request.

Cancellation is cooperative: the SDK does not forcibly terminate tool code. Instead, a MCP::Cancellation token is threaded through server_context, and long-running tools poll it to exit early. When a tool returns after cancellation has been observed, the server suppresses the JSON-RPC response, matching the spec. The initialize request is never cancellable per the spec.

[!NOTE] Client-initiated cancellation (Client#cancel equivalent that would also abort the calling thread's wait) is not yet implemented. Sending notifications/cancelled from the client side can be done by constructing the notification payload and writing it directly through the transport, but the calling thread does not yet unwind automatically. This is tracked as a follow-up.

Server-Side: Handlers that Check for Cancellation

Any handler that opts in to server_context: - tools (Tool.call), prompt templates, resources_read_handler, completion_handler, resources_subscribe_handler, resources_unsubscribe_handler, and define_custom_method blocks - receives an MCP::ServerContext wired to the in-flight request's cancellation token. Handlers check cancelled? in their work loop, or call raise_if_cancelled! to raise MCP::CancelledError at a safe point:

class LongRunningTool < MCP::Tool
  description "A tool that supports cancellation"
  input_schema(properties: { count: { type: "integer" } }, required: ["count"])

  def self.call(count:, server_context:)
    count.times do |i|
      # Exit early if the client has sent `notifications/cancelled`.
      break if server_context.cancelled?

      do_work(i)
    end

    MCP::Tool::Response.new([{ type: "text", text: "Done" }])
  end
end

Alternatively, raise at the next safe point with raise_if_cancelled!:

def self.call(count:, server_context:)
  count.times do |i|
    server_context.raise_if_cancelled!

    do_work(i)
  end

  MCP::Tool::Response.new([{ type: "text", text: "Done" }])
end

When a handler observes cancellation (either by returning early with cancelled? or by raising MCP::CancelledError via raise_if_cancelled!), the server drops the response and no JSON-RPC result is sent to the client.

The same pattern works for other handler types:

# resources/read
server.resources_read_handler do |params, server_context:|
  server_context.raise_if_cancelled!
  # read the resource
end

# completion/complete
server.completion_handler do |params, server_context:|
  server_context.raise_if_cancelled!
  # compute completions
end

# custom method
server.define_custom_method(method_name: "custom/slow") do |params, server_context:|
  server_context.raise_if_cancelled!
  # do work
end

# prompts (via Prompt subclass)
class SlowPrompt < MCP::Prompt
  prompt_name "slow_prompt"

  def self.template(args, server_context:)
    server_context.raise_if_cancelled!
    MCP::Prompt::Result.new(messages: [])
  end
end

Handlers that do not declare a server_context: keyword continue to work unchanged - the opt-in detection only wraps the context when the block signature asks for it.

Nested Server-to-Client Requests Are Cancelled Automatically

When a tool handler is waiting on a nested server-to-client request (server_context.create_sampling_message, create_form_elicitation, or create_url_elicitation), cancelling the parent tool call automatically raises MCP::CancelledError from the nested call, so the tool does not need to wrap it in its own cancelled? checks:

def self.call(server_context:)
  result = server_context.create_sampling_message(messages: messages, max_tokens: 100)
  # If the parent tools/call is cancelled while waiting above, MCP::CancelledError
  # is raised here and the tool can let it propagate or clean up as needed.
  MCP::Tool::Response.new([{ type: "text", text: result[:content][:text] }])
rescue MCP::CancelledError
  # Optional: run cleanup. Re-raising (or letting it propagate) is fine; the server
  # will still suppress the JSON-RPC response per the MCP spec.
  raise
end

Nested cancellation propagation is supported on StreamableHTTPTransport only. StdioTransport is single-threaded and blocks on $stdin.gets, so a nested server_context.create_sampling_message inside a tool runs to completion even if the parent tools/call is cancelled. The parent tool itself still observes cancellation via server_context.cancelled? between nested calls.

Ping

The MCP Ruby SDK supports the MCP ping utility, which allows either side of the connection to verify that the peer is still responsive. A ping request has no parameters, and the receiver MUST respond promptly with an empty result.

Server-Side

Servers respond to incoming ping requests automatically - no setup is required. Any MCP::Server instance replies with an empty result.

Client-Side

MCP::Client exposes ping to send a ping to the server:

client = MCP::Client.new(transport: transport)
client.ping # => {} on success

#ping raises MCP::Client::ServerError when the server returns a JSON-RPC error. It raises MCP::Client::ValidationError when the response result is missing or is not a Hash (matching the spec requirement that result be an object). Transport-level errors (for example, MCP::Client::Stdio's read_timeout: firing) propagate as exceptions raised by the transport layer.

Progress

The MCP Ruby SDK supports progress tracking for long-running tool operations, following the MCP Progress specification.

How Progress Works

1. Client Request: The client sends a progressToken in the _meta field when calling a tool
2. Server Notification: The server sends notifications/progress messages back to the client during tool execution
3. Tool Integration: Tools call server_context.report_progress to report incremental progress

Server-Side: Tool with Progress

Tools that accept a server_context: parameter can call report_progress on it. The server automatically wraps the context in an MCP::ServerContext instance that provides this method:

class LongRunningTool < MCP::Tool
  description "A tool that reports progress during execution"
  input_schema(
    properties: {
      count: { type: "integer" },
    },
    required: ["count"]
  )

  def self.call(count:, server_context:)
    count.times do |i|
      # Do work here.
      server_context.report_progress(i + 1, total: count, message: "Processing item #{i + 1}")
    end

    MCP::Tool::Response.new([{ type: "text", text: "Done" }])
  end
end

The server_context.report_progress method accepts:

• progress (required) — current progress value (numeric)
• total: (optional) — total expected value, so clients can display a percentage
• message: (optional) — human-readable status message

Key Features:

• Tools report progress via server_context.report_progress
• report_progress is a no-op when no progressToken was provided by the client
• Supports both numeric and string progress tokens

Completions

MCP spec includes Completions, which enable servers to provide autocompletion suggestions for prompt arguments and resource URIs.

To enable completions, declare the completions capability and register a handler:

server = MCP::Server.new(
  name: "my_server",
  prompts: [CodeReviewPrompt],
  resource_templates: [FileTemplate],
  capabilities: { completions: {} },
)

server.completion_handler do |params|
  ref = params[:ref]
  argument = params[:argument]
  value = argument[:value]

  case ref[:type]
  when "ref/prompt"
    values = case argument[:name]
    when "language"
      ["python", "pytorch", "pyside"].select { |v| v.start_with?(value) }
    else
      []
    end
    { completion: { values: values, hasMore: false } }
  when "ref/resource"
    { completion: { values: [], hasMore: false } }
  end
end

The handler receives a params hash with:

• ref - The reference ({ type: "ref/prompt", name: "..." } or { type: "ref/resource", uri: "..." })
• argument - The argument being completed ({ name: "...", value: "..." })
• context (optional) - Previously resolved arguments ({ arguments: { ... } })

The handler must return a hash with a completion key containing values (array of strings), and optionally total and hasMore. The SDK automatically enforces the 100-item limit per the MCP specification.

The server validates that the referenced prompt, resource, or resource template is registered before calling the handler. Requests for unknown references return an error.

Elicitation

The MCP Ruby SDK supports elicitation, which allows servers to request additional information from users through the client during tool execution.

Elicitation is a server-to-client request. The server sends a request and blocks until the user responds via the client.

Capabilities

Clients must declare the elicitation capability during initialization. The server checks this before sending any elicitation request and raises a RuntimeError if the client does not support it.

For URL mode support, the client must also declare elicitation.url capability.

Using Elicitation in Tools

Tools that accept a server_context: parameter can call create_form_elicitation on it:

server.define_tool(name: "collect_info", description: "Collect user info") do |server_context:|
  result = server_context.create_form_elicitation(
    message: "Please provide your name",
    requested_schema: {
      type: "object",
      properties: { name: { type: "string" } },
      required: ["name"],
    },
  )

  MCP::Tool::Response.new([{ type: "text", text: "Hello, #{result[:content][:name]}" }])
end

Form Mode

Form mode collects structured data from the user directly through the MCP client:

server.define_tool(name: "collect_contact", description: "Collect contact info") do |server_context:|
  result = server_context.create_form_elicitation(
    message: "Please provide your contact information",
    requested_schema: {
      type: "object",
      properties: {
        name: { type: "string", description: "Your full name" },
        email: { type: "string", format: "email", description: "Your email address" },
      },
      required: ["name", "email"],
    },
  )

  text = case result[:action]
  when "accept"
    "Hello, #{result[:content][:name]} (#{result[:content][:email]})"
  when "decline"
    "User declined"
  when "cancel"
    "User cancelled"
  end

  MCP::Tool::Response.new([{ type: "text", text: text }])
end

URL Mode

URL mode directs the user to an external URL for out-of-band interactions such as OAuth flows:

server.define_tool(name: "authorize_github", description: "Authorize GitHub") do |server_context:|
  elicitation_id = SecureRandom.uuid

  result = server_context.create_url_elicitation(
    message: "Please authorize access to your GitHub account",
    url: "https://example.com/oauth/authorize?elicitation_id=#{elicitation_id}",
    elicitation_id: elicitation_id,
  )

  server_context.notify_elicitation_complete(elicitation_id: elicitation_id)

  MCP::Tool::Response.new([{ type: "text", text: "Authorization complete" }])
end

URLElicitationRequiredError

When a tool cannot proceed until an out-of-band elicitation is completed, raise MCP::Server::URLElicitationRequiredError. This returns a JSON-RPC error with code -32042 to the client:

server.define_tool(name: "access_github", description: "Access GitHub") do |server_context:|
  raise MCP::Server::URLElicitationRequiredError.new([
    {
      mode: "url",
      elicitationId: SecureRandom.uuid,
      url: "https://example.com/oauth/authorize",
      message: "GitHub authorization is required.",
    },
  ])
end

Logging

The MCP Ruby SDK supports structured logging through the notify_log_message method, following the MCP Logging specification.

The notifications/message notification is used for structured logging between client and server.

Log Levels

The SDK supports 8 log levels with increasing severity:

• debug - Detailed debugging information
• info - General informational messages
• notice - Normal but significant events
• warning - Warning conditions
• error - Error conditions
• critical - Critical conditions
• alert - Action must be taken immediately
• emergency - System is unusable

How Logging Works

1. Client Configuration: The client sends a logging/setLevel request to configure the minimum log level
2. Server Filtering: The server only sends log messages at the configured level or higher severity
3. Notification Delivery: Log messages are sent as notifications/message to the client

For example, if the client sets the level to "error" (severity 4), the server will send messages with levels: error, critical, alert, and emergency.

For more details, see the MCP Logging specification.

Usage Example:

server = MCP::Server.new(name: "my_server")
transport = MCP::Server::Transports::StdioTransport.new(server)

# The client first configures the logging level (on the client side):
transport.send_request(
  request: {
    jsonrpc: "2.0",
    method: "logging/setLevel",
    params: { level: "info" },
    id: session_id # Unique request ID within the session
  }
)

# Send log messages at different severity levels
server.notify_log_message(
  data: { message: "Application started successfully" },
  level: "info"
)

server.notify_log_message(
  data: { message: "Configuration file not found, using defaults" },
  level: "warning"
)

server.notify_log_message(
  data: {
    error: "Database connection failed",
    details: { host: "localhost", port: 5432 }
  },
  level: "error",
  logger: "DatabaseLogger" # Optional logger name
)

Key Features:

• Supports 8 log levels (debug, info, notice, warning, error, critical, alert, emergency) based on https://modelcontextprotocol.io/specification/2025-06-18/server/utilities/logging#log-levels
• Server has capability logging to send log messages
• Messages are only sent if a transport is configured
• Messages are filtered based on the client's configured log level
• If the log level hasn't been set by the client, no messages will be sent

Transport Support

• stdio: Notifications are sent as JSON-RPC 2.0 messages to stdout
• Streamable HTTP: Notifications are sent as JSON-RPC 2.0 messages over HTTP with streaming (chunked transfer or SSE)

Usage Example

server = MCP::Server.new(name: "my_server")

# Default Streamable HTTP - session oriented
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server)

# When tools change, notify clients
server.define_tool(name: "new_tool") { |**args| { result: "ok" } }
server.notify_tools_list_changed

You can use Stateless Streamable HTTP, where notifications are not supported and all calls are request/response interactions. This mode allows for easy multi-node deployment. Set stateless: true in MCP::Server::Transports::StreamableHTTPTransport.new (stateless defaults to false):

# Stateless Streamable HTTP - session-less
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, stateless: true)

You can enable JSON response mode, where the server returns application/json instead of text/event-stream. Set enable_json_response: true in MCP::Server::Transports::StreamableHTTPTransport.new:

# JSON response mode
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, enable_json_response: true)

In JSON response mode, the POST response is a single JSON object, so server-to-client messages that need to arrive during request processing are not supported: request-scoped notifications (progress, log) are silently dropped, and all server-to-client requests (sampling/createMessage, roots/list, elicitation/create) raise an error. Session-scoped standalone notifications (resources/updated, elicitation/complete) and broadcast notifications (tools/list_changed, etc.) still flow to clients connected to the GET SSE stream. This mode is suitable for simple tool servers that do not need server-initiated requests.

By default, sessions do not expire. To mitigate session hijacking risks, you can set a session_idle_timeout (in seconds). When configured, sessions that receive no HTTP requests for this duration are automatically expired and cleaned up:

# Session timeout of 30 minutes
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, session_idle_timeout: 1800)

Pagination

The MCP Ruby SDK supports pagination for list operations that may return large result sets. Pagination uses string cursor tokens carrying a zero-based offset, treated as opaque by clients: the server decides page size, and the client follows nextCursor until the server omits it.

Pagination applies to tools/list, prompts/list, resources/list, and resources/templates/list.

Server-Side: Enabling Pagination

Pass page_size: to MCP::Server.new to split list responses into pages. When page_size is omitted (the default), list responses contain all items in a single response, preserving the pre-pagination behavior.

server = MCP::Server.new(
  name: "my_server",
  tools: tools,
  page_size: 50,
)

When page_size is set, list responses include a nextCursor field whenever more pages are available:

{
  "jsonrpc": "2.0",
  "id": 1,
  "result": {
    "tools": [
      { "name": "example_tool" }
    ],
    "nextCursor": "50"
  }
}

Invalid cursors (e.g. non-numeric, negative, or out-of-range) are rejected with JSON-RPC error code -32602 (Invalid params) per the MCP specification.

Client-Side: Iterating Pages

MCP::Client exposes list_tools, list_prompts, list_resources, and list_resource_templates. Each call issues exactly one */list JSON-RPC request and returns exactly one page — not the full collection. The returned result object (MCP::Client::ListToolsResult etc.) exposes the page items and the next cursor as method accessors:

client = MCP::Client.new(transport: transport)

cursor = nil
loop do
  page = client.list_tools(cursor: cursor)
  page.tools.each { |tool| process(tool) }
  cursor = page.next_cursor
  break unless cursor
end

The same pattern applies to list_prompts (page.prompts), list_resources (page.resources), and list_resource_templates (page.resource_templates). next_cursor is nil on the final page.

Because a single call returns a single page, how many items come back depends on the server's page_size configuration:

Server page_size	client.list_tools(cursor: nil)
Not set (default)	Returns every item in one response. next_cursor is nil.
Set to N	Returns the first N items. next_cursor is set for continuation.

If your application needs the complete collection regardless of how the server is configured, either loop on next_cursor as shown above, or use the whole-collection methods described below.

Fetching the Complete Collection

client.tools, client.resources, client.resource_templates, and client.prompts auto-iterate through all pages and return a plain array of items, guaranteeing the full collection regardless of the server's page_size setting. When a server paginates, they issue multiple JSON-RPC round trips per call and break out of the pagination loop if the server returns the same nextCursor twice in a row as a safety measure.

tools = client.tools # => Array<MCP::Client::Tool> of every tool on the server.

Use these when you want the complete list; use list_tools(cursor:) etc. when you need fine-grained iteration (e.g. to stream-process pages without loading everything into memory).

Advanced

Custom Methods

The server allows you to define custom JSON-RPC methods beyond the standard MCP protocol methods using the define_custom_method method:

server = MCP::Server.new(name: "my_server")

# Define a custom method that returns a result
server.define_custom_method(method_name: "add") do |params|
  params[:a] + params[:b]
end

# Define a custom notification method (returns nil)
server.define_custom_method(method_name: "notify") do |params|
  # Process notification
  nil
end

Key Features:

• Accepts any method name as a string
• Block receives the request parameters as a hash
• Can handle both regular methods (with responses) and notifications
• Prevents overriding existing MCP protocol methods
• Supports instrumentation callbacks for monitoring

Usage Example:

# Client request
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "add",
  "params": { "a": 5, "b": 3 }
}

# Server response
{
  "jsonrpc": "2.0",
  "id": 1,
  "result": 8
}

Error Handling:

• Raises MCP::Server::MethodAlreadyDefinedError if trying to override an existing method
• Supports the same exception reporting and instrumentation as standard methods

Building an MCP Client

The MCP::Client class provides an interface for interacting with MCP servers.

This class supports:

• Liveness check via the ping method (MCP::Client#ping)
• Tool listing via the tools/list method (MCP::Client#tools)
• Tool invocation via the tools/call method (MCP::Client#call_tools)
• Resource listing via the resources/list method (MCP::Client#resources)
• Resource template listing via the resources/templates/list method (MCP::Client#resource_templates)
• Resource reading via the resources/read method (MCP::Client#read_resource)
• Prompt listing via the prompts/list method (MCP::Client#prompts)
• Prompt retrieval via the prompts/get method (MCP::Client#get_prompt)
• Completion requests via the completion/complete method (MCP::Client#complete)
• Automatic JSON-RPC 2.0 message formatting
• UUID request ID generation

Clients are initialized with a transport layer instance that handles the low-level communication mechanics. Authorization is handled by the transport layer.

Transport Layer Interface

If the transport layer you need is not included in the gem, you can build and pass your own instances so long as they conform to the following interface:

class CustomTransport
  # Sends a JSON-RPC request to the server and returns the raw response.
  #
  # @param request [Hash] A complete JSON-RPC request object.
  #     https://www.jsonrpc.org/specification#request_object
  # @return [Hash] A hash modeling a JSON-RPC response object.
  #     https://www.jsonrpc.org/specification#response_object
  def send_request(request:)
    # Your transport-specific logic here
    # - HTTP: POST to endpoint with JSON body
    # - WebSocket: Send message over WebSocket
    # - stdio: Write to stdout, read from stdin
    # - etc.
  end
end

Stdio Transport Layer

Use the MCP::Client::Stdio transport to interact with MCP servers running as subprocesses over standard input/output.

MCP::Client::Stdio.new accepts the following keyword arguments:

Parameter	Required	Description
command:	Yes	The command to spawn the server process (e.g., "ruby", "bundle", "npx").
args:	No	An array of arguments passed to the command. Defaults to [].
env:	No	A hash of environment variables to set for the server process. Defaults to nil.
read_timeout:	No	Timeout in seconds for waiting for a server response. Defaults to nil (no timeout).

Example usage:

stdio_transport = MCP::Client::Stdio.new(
  command: "bundle",
  args: ["exec", "ruby", "path/to/server.rb"],
  env: { "API_KEY" => "my_secret_key" },
  read_timeout: 30
)
client = MCP::Client.new(transport: stdio_transport)

# Perform the MCP initialization handshake before sending any requests.
client.connect

# List available tools.
tools = client.tools
tools.each do |tool|
  puts "Tool: #{tool.name} - #{tool.description}"
end

# Call a specific tool.
response = client.call_tool(
  tool: tools.first,
  arguments: { message: "Hello, world!" }
)

# Close the transport when done.
stdio_transport.close

The stdio transport automatically handles:

• Spawning the server process with Open3.popen3
• MCP protocol initialization handshake (initialize request + notifications/initialized)
• JSON-RPC 2.0 message framing over newline-delimited JSON

HTTP Transport Layer

Use the MCP::Client::HTTP transport to interact with MCP servers using simple HTTP requests.

You'll need to add faraday as a dependency in order to use the HTTP transport layer. Add event_stream_parser as well if the server uses SSE (text/event-stream) responses:

gem 'mcp'
gem 'faraday', '>= 2.0'
gem 'event_stream_parser', '>= 1.0' # optional, required only for SSE responses

Example usage:

http_transport = MCP::Client::HTTP.new(url: "https://api.example.com/mcp")
client = MCP::Client.new(transport: http_transport)

# Perform the MCP initialization handshake before sending any requests.
client.connect

# List available tools
tools = client.tools
tools.each do |tool|
  puts <<~TOOL_INFORMATION
    Tool: #{tool.name}
    Description: #{tool.description}
    Input Schema: #{tool.input_schema}
  TOOL_INFORMATION
end

# Call a specific tool
response = client.call_tool(
  tool: tools.first,
  arguments: { message: "Hello, world!" }
)

# Call a tool with progress tracking.
response = client.call_tool(
  tool: tools.first,
  arguments: { count: 10 },
  progress_token: "my-progress-token"
)

The server will send notifications/progress back to the client during execution.

HTTP Authorization

By default, the HTTP transport layer provides no authentication to the server, but you can provide custom headers if you need authentication. For example, to use Bearer token authentication:

http_transport = MCP::Client::HTTP.new(
  url: "https://api.example.com/mcp",
  headers: {
    "Authorization" => "Bearer my_token"
  }
)

client = MCP::Client.new(transport: http_transport)
client.tools # will make the call using Bearer auth

You can add any custom headers needed for your authentication scheme, or for any other purpose. The client will include these headers on every request.

Customizing the Faraday Connection

You can pass a block to MCP::Client::HTTP.new to customize the underlying Faraday connection. The block is called after the default middleware is configured, so you can add middleware or swap the HTTP adapter:

http_transport = MCP::Client::HTTP.new(url: "https://api.example.com/mcp") do |faraday|
  faraday.use MyApp::Middleware::HttpRecorder
  faraday.adapter :typhoeus
end

Tool Objects

The client provides a wrapper class for tools returned by the server:

• MCP::Client::Tool - Represents a single tool with its metadata

This class provides easy access to tool properties like name, description, input schema, and output schema.

Conformance Testing

The conformance/ directory contains a test server and runner that validate the SDK against the MCP specification using @modelcontextprotocol/conformance.

See conformance/README.md for usage instructions.

Documentation

• SDK API documentation
• Model Context Protocol documentation