MCP Hackathon Starter

Welcome! This markdown gives you a tiny crash course on the Model Context Protocol (MCP) and a minimal TypeScript server you can use as a starting point at a hackathon.

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What is MCP?

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Using MCP, AI applications like Claude or ChatGPT can connect to data sources (e.g. local files, databases), tools (e.g. search engines, calculators) and workflows (e.g. specialized prompts)—enabling them to access key information and perform tasks.

Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems.

Basically, it's a server that you can connect your AI app to. With the server you can do stuff, that the AI has no access to.

Key primitives:

• Tools: Executable functions that AI applications can invoke to perform actions (e.g., file operations, API calls, database queries)
• Resources: Data sources that provide contextual information to AI applications (e.g., file contents, database records, API responses)
• Prompts: Reusable templates that help structure interactions with language models (e.g., system prompts, few-shot examples)

This whole information is taken from: https://modelcontextprotocol.io/docs/learn/architecture You can read there for more information.

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Below intro guide is taken from: https://github.com/microsoft/mcp-for-beginners/blob/main/03-GettingStarted/01-first-server/README.md

Getting Started with MCP

Welcome to your first steps with the Model Context Protocol (MCP)! Whether you're new to MCP or looking to deepen your understanding, this guide will walk you through the essential setup and development process. You'll discover how MCP enables seamless integration between AI models and applications, and learn how to quickly get your environment ready for building and testing MCP-powered solutions.

TLDR; If you build AI apps, you know that you can add tools and other resources to your LLM (large language model), to make the LLM more knowledgeable. However if you place those tools and resources on a server, the app and the server capabilities can be used by any client with/without an LLM.

Overview

This lesson provides practical guidance on setting up MCP environments and building your first MCP applications. You'll learn how to set up the necessary tools and frameworks, build basic MCP servers, create host applications, and test your implementations.

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

Learning Objectives

By the end of this lesson, you will be able to:

• Set up development environments for MCP in C#, Java, Python, TypeScript, and Rust
• Build and deploy basic MCP servers with custom features (resources, prompts, and tools)
• Create host applications that connect to MCP servers
• Test and debug MCP implementations

Setting Up Your MCP Environment

Before you begin working with MCP, it's important to prepare your development environment and understand the basic workflow. This section will guide you through the initial setup steps to ensure a smooth start with MCP.

Prerequisites

Before diving into MCP development, ensure you have:

• Development Environment: For your chosen language (C#, Java, Python, TypeScript, or Rust)
• IDE/Editor: Visual Studio, Visual Studio Code, IntelliJ, Eclipse, PyCharm, or any modern code editor
• Package Managers: NuGet, Maven/Gradle, pip, npm/yarn, or Cargo
• API Keys: For any AI services you plan to use in your host applications

Basic MCP Server Structure

An MCP server typically includes:

• Server Configuration: Setup port, authentication, and other settings
• Resources: Data and context made available to LLMs
• Tools: Functionality that models can invoke
• Prompts: Templates for generating or structuring text

Here's a simplified example in TypeScript:

import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

// Create an MCP server
const server = new McpServer({
  name: "Demo",
  version: "1.0.0"
});

// Add an addition tool
server.tool("add",
  { a: z.number(), b: z.number() },
  async ({ a, b }) => ({
    content: [{ type: "text", text: String(a + b) }]
  })
);

// Add a dynamic greeting resource
server.resource(
  "file",
  // The 'list' parameter controls how the resource lists available files. Setting it to undefined disables listing for this resource.
  new ResourceTemplate("file://{path}", { list: undefined }),
  async (uri, { path }) => ({
    contents: [{
      uri: uri.href,
      text: `File, ${path}!`
    }]
  })
);

// Add a file resource that reads the file contents
server.resource(
  "file",
  new ResourceTemplate("file://{path}", { list: undefined }),
  async (uri, { path }) => {
    let text;
    try {
      text = await fs.readFile(path, "utf8");
    } catch (err) {
      text = `Error reading file: ${err.message}`;
    }
    return {
      contents: [{
        uri: uri.href,
        text
      }]
    };
  }
);

server.prompt(
  "review-code",
  { code: z.string() },
  ({ code }) => ({
    messages: [{
      role: "user",
      content: {
        type: "text",
        text: `Please review this code:\n\n${code}`
      }
    }]
  })
);

// Start receiving messages on stdin and sending messages on stdout
const transport = new StdioServerTransport();
await server.connect(transport);

In the preceding code we:

• Import the necessary classes from the MCP TypeScript SDK.
• Create and configure a new MCP server instance.
• Register a custom tool (calculator) with a handler function.
• Start the server to listen for incoming MCP requests.

Testing and Debugging

Before you begin testing your MCP server, it's important to understand the available tools and best practices for debugging. Effective testing ensures your server behaves as expected and helps you quickly identify and resolve issues. The following section outlines recommended approaches for validating your MCP implementation.

MCP provides tools to help you test and debug your servers:

• Inspector tool, this graphical interface allows you to connect to your server and test your tools, prompts and resources.
• curl, you can also connect to your server using a command line tool like curl or other clients than can create and run HTTP commands.

Using MCP Inspector

The MCP Inspector is a visual testing tool that helps you:

1. Discover Server Capabilities: Automatically detect available resources, tools, and prompts
2. Test Tool Execution: Try different parameters and see responses in real-time
3. View Server Metadata: Examine server info, schemas, and configurations

# ex TypeScript, installing and running MCP Inspector
npx @modelcontextprotocol/inspector node build/index.js

When you run the above commands, the MCP Inspector will launch a local web interface in your browser. You can expect to see a dashboard displaying your registered MCP servers, their available tools, resources, and prompts. The interface allows you to interactively test tool execution, inspect server metadata, and view real-time responses, making it easier to validate and debug your MCP server implementations.

Here's a screenshot of what it can look like:

Common Setup Issues and Solutions

Issue	Possible Solution
Connection refused	Check if server is running and port is correct
Tool execution errors	Review parameter validation and error handling
Authentication failures	Verify API keys and permissions
Schema validation errors	Ensure parameters match the defined schema
Server not starting	Check for port conflicts or missing dependencies
CORS errors	Configure proper CORS headers for cross-origin requests
Authentication issues	Verify token validity and permissions

Local Development

For local development and testing, you can run MCP servers directly on your machine:

1. Start the server process: Run your MCP server application
2. Configure networking: Ensure the server is accessible on the expected port
3. Connect clients: Use local connection URLs like http://localhost:3000

# Example: Running a TypeScript MCP server locally
npm run start
# Server running at http://localhost:3000

Building your first MCP Server

We've covered Core concepts in a previous lesson, now it's time to put that knowledge to work.

What a server can do

Before we start writing code, let's just remind ourselves what a server can do:

An MCP server can for example:

• Access local files and databases
• Connect to remote APIs
• Perform computations
• Integrate with other tools and services
• Provide a user interface for interaction

Great, now that we know what we can do for it, let's start coding.

Exercise: Creating a server

To create a server, you need to follow these steps:

• Install the MCP SDK.
• Create a a project and set up the project structure.
• Write the server code.
• Test the server.

-1- Create project

TypeScript

# Create project directory and initialize npm project
mkdir calculator-server
cd calculator-server
npm init -y

Python

# Create project dir
mkdir calculator-server
cd calculator-server
# Open the folder in Visual Studio Code - Skip this if you are using a different IDE
code .

.NET

dotnet new console -n McpCalculatorServer
cd McpCalculatorServer

Java

For Java, create a Spring Boot project:

curl https://start.spring.io/starter.zip \
  -d dependencies=web \
  -d javaVersion=21 \
  -d type=maven-project \
  -d groupId=com.example \
  -d artifactId=calculator-server \
  -d name=McpServer \
  -d packageName=com.microsoft.mcp.sample.server \
  -o calculator-server.zip

Extract the zip file:

unzip calculator-server.zip -d calculator-server
cd calculator-server
# optional remove the unused test
rm -rf src/test/java

Add the following complete configuration to your pom.xml file:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    
    <!-- Spring Boot parent for dependency management -->
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>3.5.0</version>
        <relativePath />
    </parent>

    <!-- Project coordinates -->
    <groupId>com.example</groupId>
    <artifactId>calculator-server</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>Calculator Server</name>
    <description>Basic calculator MCP service for beginners</description>

    <!-- Properties -->
    <properties>
        <java.version>21</java.version>
        <maven.compiler.source>21</maven.compiler.source>
        <maven.compiler.target>21</maven.compiler.target>
    </properties>

    <!-- Spring AI BOM for version management -->
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.ai</groupId>
                <artifactId>spring-ai-bom</artifactId>
                <version>1.0.0-SNAPSHOT</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>

    <!-- Dependencies -->
    <dependencies>
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-starter-mcp-server-webflux</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <dependency>
         <groupId>org.springframework.boot</groupId>
         <artifactId>spring-boot-starter-test</artifactId>
         <scope>test</scope>
      </dependency>
    </dependencies>

    <!-- Build configuration -->
    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <release>21</release>
                </configuration>
            </plugin>
        </plugins>
    </build>

    <!-- Repositories for Spring AI snapshots -->
    <repositories>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
        <repository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <releases>
                <enabled>false</enabled>
            </releases>
        </repository>
    </repositories>
</project>

Rust

mkdir calculator-server
cd calculator-server
cargo init

-2- Add dependencies

Now that you have your project created, let's add dependencies next:

TypeScript

# If not already installed, install TypeScript globally
npm install typescript -g

# Install the MCP SDK and Zod for schema validation
npm install @modelcontextprotocol/sdk zod
npm install -D @types/node typescript

Python

# Create a virtual env and install dependencies
python -m venv venv
venv\Scripts\activate
pip install "mcp[cli]"

Java

cd calculator-server
./mvnw clean install -DskipTests

Rust

cargo add rmcp --features server,transport-io
cargo add serde
cargo add tokio --features rt-multi-thread

-3- Create project files

TypeScript

Open the package.json file and replace the content with the following to ensure you can build and run the server:

{
  "name": "calculator-server",
  "version": "1.0.0",
  "main": "index.js",
  "type": "module",
  "scripts": {
    "build": "tsc",
    "start": "npm run build && node ./build/index.js",
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "description": "A simple calculator server using Model Context Protocol",
  "dependencies": {
    "@modelcontextprotocol/sdk": "^1.16.0",
    "zod": "^3.25.76"
  },
  "devDependencies": {
    "@types/node": "^24.0.14",
    "typescript": "^5.8.3"
  }
}

Create a tsconfig.json with the following content:

{
  "compilerOptions": {
    "target": "ES2022",
    "module": "Node16",
    "moduleResolution": "Node16",
    "outDir": "./build",
    "rootDir": "./src",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "forceConsistentCasingInFileNames": true
  },
  "include": ["src/**/*"],
  "exclude": ["node_modules"]
}

Create a directory for your source code:

mkdir src
touch src/index.ts

Python

Create a file server.py

touch server.py

.NET

Install the required NuGet packages:

dotnet add package ModelContextProtocol --prerelease
dotnet add package Microsoft.Extensions.Hosting

Java

For Java Spring Boot projects, the project structure is created automatically.

Rust

For Rust, a src/main.rs file is created by default when you run cargo init. Open the file and delete the default code.

-4- Create server code

TypeScript

Create a file index.ts and add the following code:

import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
 
// Create an MCP server
const server = new McpServer({
  name: "Calculator MCP Server",
  version: "1.0.0"
});

Now you have a server, but it doesn't do much, let' fix that.

Python

# server.py
from mcp.server.fastmcp import FastMCP

# Create an MCP server
mcp = FastMCP("Demo")

.NET

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using ModelContextProtocol.Server;
using System.ComponentModel;

var builder = Host.CreateApplicationBuilder(args);
builder.Logging.AddConsole(consoleLogOptions =>
{
    // Configure all logs to go to stderr
    consoleLogOptions.LogToStandardErrorThreshold = LogLevel.Trace;
});

builder.Services
    .AddMcpServer()
    .WithStdioServerTransport()
    .WithToolsFromAssembly();
await builder.Build().RunAsync();

// add features

Java

For Java, create the core server components. First, modify the main application class:

src/main/java/com/microsoft/mcp/sample/server/McpServerApplication.java:

package com.microsoft.mcp.sample.server;

import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.tool.method.MethodToolCallbackProvider;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import com.microsoft.mcp.sample.server.service.CalculatorService;

@SpringBootApplication
public class McpServerApplication {

    public static void main(String[] args) {
        SpringApplication.run(McpServerApplication.class, args);
    }
    
    @Bean
    public ToolCallbackProvider calculatorTools(CalculatorService calculator) {
        return MethodToolCallbackProvider.builder().toolObjects(calculator).build();
    }
}

Create the calculator service src/main/java/com/microsoft/mcp/sample/server/service/CalculatorService.java:

package com.microsoft.mcp.sample.server.service;

import org.springframework.ai.tool.annotation.Tool;
import org.springframework.stereotype.Service;

/**
 * Service for basic calculator operations.
 * This service provides simple calculator functionality through MCP.
 */
@Service
public class CalculatorService {

    /**
     * Add two numbers
     * @param a The first number
     * @param b The second number
     * @return The sum of the two numbers
     */
    @Tool(description = "Add two numbers together")
    public String add(double a, double b) {
        double result = a + b;
        return formatResult(a, "+", b, result);
    }

    /**
     * Subtract one number from another
     * @param a The number to subtract from
     * @param b The number to subtract
     * @return The result of the subtraction
     */
    @Tool(description = "Subtract the second number from the first number")
    public String subtract(double a, double b) {
        double result = a - b;
        return formatResult(a, "-", b, result);
    }

    /**
     * Multiply two numbers
     * @param a The first number
     * @param b The second number
     * @return The product of the two numbers
     */
    @Tool(description = "Multiply two numbers together")
    public String multiply(double a, double b) {
        double result = a * b;
        return formatResult(a, "*", b, result);
    }

    /**
     * Divide one number by another
     * @param a The numerator
     * @param b The denominator
     * @return The result of the division
     */
    @Tool(description = "Divide the first number by the second number")
    public String divide(double a, double b) {
        if (b == 0) {
            return "Error: Cannot divide by zero";
        }
        double result = a / b;
        return formatResult(a, "/", b, result);
    }

    /**
     * Calculate the power of a number
     * @param base The base number
     * @param exponent The exponent
     * @return The result of raising the base to the exponent
     */
    @Tool(description = "Calculate the power of a number (base raised to an exponent)")
    public String power(double base, double exponent) {
        double result = Math.pow(base, exponent);
        return formatResult(base, "^", exponent, result);
    }

    /**
     * Calculate the square root of a number
     * @param number The number to find the square root of
     * @return The square root of the number
     */
    @Tool(description = "Calculate the square root of a number")
    public String squareRoot(double number) {
        if (number < 0) {
            return "Error: Cannot calculate square root of a negative number";
        }
        double result = Math.sqrt(number);
        return String.format("√%.2f = %.2f", number, result);
    }

    /**
     * Calculate the modulus (remainder) of division
     * @param a The dividend
     * @param b The divisor
     * @return The remainder of the division
     */
    @Tool(description = "Calculate the remainder when one number is divided by another")
    public String modulus(double a, double b) {
        if (b == 0) {
            return "Error: Cannot divide by zero";
        }
        double result = a % b;
        return formatResult(a, "%", b, result);
    }

    /**
     * Calculate the absolute value of a number
     * @param number The number to find the absolute value of
     * @return The absolute value of the number
     */
    @Tool(description = "Calculate the absolute value of a number")
    public String absolute(double number) {
        double result = Math.abs(number);
        return String.format("|%.2f| = %.2f", number, result);
    }

    /**
     * Get help about available calculator operations
     * @return Information about available operations
     */
    @Tool(description = "Get help about available calculator operations")
    public String help() {
        return "Basic Calculator MCP Service\n\n" +
               "Available operations:\n" +
               "1. add(a, b) - Adds two numbers\n" +
               "2. subtract(a, b) - Subtracts the second number from the first\n" +
               "3. multiply(a, b) - Multiplies two numbers\n" +
               "4. divide(a, b) - Divides the first number by the second\n" +
               "5. power(base, exponent) - Raises a number to a power\n" +
               "6. squareRoot(number) - Calculates the square root\n" + 
               "7. modulus(a, b) - Calculates the remainder of division\n" +
               "8. absolute(number) - Calculates the absolute value\n\n" +
               "Example usage: add(5, 3) will return 5 + 3 = 8";
    }

    /**
     * Format the result of a calculation
     */
    private String formatResult(double a, String operator, double b, double result) {
        return String.format("%.2f %s %.2f = %.2f", a, operator, b, result);
    }
}

Optional components for a production-ready service:

Create a startup configuration src/main/java/com/microsoft/mcp/sample/server/config/StartupConfig.java:

package com.microsoft.mcp.sample.server.config;

import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class StartupConfig {
    
    @Bean
    public CommandLineRunner startupInfo() {
        return args -> {
            System.out.println("\n" + "=".repeat(60));
            System.out.println("Calculator MCP Server is starting...");
            System.out.println("SSE endpoint: http://localhost:8080/sse");
            System.out.println("Health check: http://localhost:8080/actuator/health");
            System.out.println("=".repeat(60) + "\n");
        };
    }
}

Create a health controller src/main/java/com/microsoft/mcp/sample/server/controller/HealthController.java:

package com.microsoft.mcp.sample.server.controller;

import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

@RestController
public class HealthController {
    
    @GetMapping("/health")
    public ResponseEntity<Map<String, Object>> healthCheck() {
        Map<String, Object> response = new HashMap<>();
        response.put("status", "UP");
        response.put("timestamp", LocalDateTime.now().toString());
        response.put("service", "Calculator MCP Server");
        return ResponseEntity.ok(response);
    }
}

Create an exception handler src/main/java/com/microsoft/mcp/sample/server/exception/GlobalExceptionHandler.java:

package com.microsoft.mcp.sample.server.exception;

import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.RestControllerAdvice;

@RestControllerAdvice
public class GlobalExceptionHandler {

    @ExceptionHandler(IllegalArgumentException.class)
    public ResponseEntity<ErrorResponse> handleIllegalArgumentException(IllegalArgumentException ex) {
        ErrorResponse error = new ErrorResponse(
            "Invalid_Input", 
            "Invalid input parameter: " + ex.getMessage());
        return new ResponseEntity<>(error, HttpStatus.BAD_REQUEST);
    }

    public static class ErrorResponse {
        private String code;
        private String message;

        public ErrorResponse(String code, String message) {
            this.code = code;
            this.message = message;
        }

        // Getters
        public String getCode() { return code; }
        public String getMessage() { return message; }
    }
}

Create a custom banner src/main/resources/banner.txt:

_____      _            _       _             
 / ____|    | |          | |     | |            
| |     __ _| | ___ _   _| | __ _| |_ ___  _ __ 
| |    / _` | |/ __| | | | |/ _` | __/ _ \| '__|
| |___| (_| | | (__| |_| | | (_| | || (_) | |   
 \_____\__,_|_|\___|\__,_|_|\__,_|\__\___/|_|   
                                                
Calculator MCP Server v1.0
Spring Boot MCP Application

Rust

Add the following code to the top of the src/main.rs file. This imports the necessary libraries and modules for your MCP server.

use rmcp::{
    handler::server::{router::tool::ToolRouter, tool::Parameters},
    model::{ServerCapabilities, ServerInfo},
    schemars, tool, tool_handler, tool_router,
    transport::stdio,
    ServerHandler, ServiceExt,
};
use std::error::Error;

The calculator server will be a simple one that can add two numbers together. Let's create a struct to represent the calculator request.

#[derive(Debug, serde::Deserialize, schemars::JsonSchema)]
pub struct CalculatorRequest {
    pub a: f64,
    pub b: f64,
}

Next, create a struct to represent the calculator server. This struct will hold the tool router, which is used to register tools.

#[derive(Debug, Clone)]
pub struct Calculator {
    tool_router: ToolRouter<Self>,
}

Now, we can implement the Calculator struct to create a new instance of the server and implement the server handler to provide server information.

#[tool_router]
impl Calculator {
    pub fn new() -> Self {
        Self {
            tool_router: Self::tool_router(),
        }
    }
}

#[tool_handler]
impl ServerHandler for Calculator {
    fn get_info(&self) -> ServerInfo {
        ServerInfo {
            instructions: Some("A simple calculator tool".into()),
            capabilities: ServerCapabilities::builder().enable_tools().build(),
            ..Default::default()
        }
    }
}

Finally, we need to implement the main function to start the server. This function will create an instance of the Calculator struct and serve it over standard input/output.

#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
    let service = Calculator::new().serve(stdio()).await?;
    service.waiting().await?;
    Ok(())
}

The server is now set up to provide basic information about itself. Next, we will add a tool to perform addition.

-5- Adding a tool and a resource

Add a tool and a resource by adding the following code:

TypeScript

server.tool(
  "add",
  { a: z.number(), b: z.number() },
  async ({ a, b }) => ({
    content: [{ type: "text", text: String(a + b) }]
  })
);

server.resource(
  "greeting",
  new ResourceTemplate("greeting://{name}", { list: undefined }),
  async (uri, { name }) => ({
    contents: [{
      uri: uri.href,
      text: `Hello, ${name}!`
    }]
  })
);

Your tool takes parameters a and b and runs a function that produces a response on the form:

{
  contents: [{
    type: "text", content: "some content"
  }]
}

Your resource is accessed through a string "greeting" and takes a parameter name and produces a similar response to the tool:

{
  uri: "<href>",
  text: "a text"
}

Python

# Add an addition tool
@mcp.tool()
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b


# Add a dynamic greeting resource
@mcp.resource("greeting://{name}")
def get_greeting(name: str) -> str:
    """Get a personalized greeting"""
    return f"Hello, {name}!"

In the preceding code we've:

• Defined a tool add that takes parameters a and p, both integers.
• Created a resource called greeting that takes parameter name.

.NET

Add this to your Program.cs file:

[McpServerToolType]
public static class CalculatorTool
{
    [McpServerTool, Description("Adds two numbers")]
    public static string Add(int a, int b) => $"Sum {a + b}";
}

Java

The tools have already been created in the previous step.

Rust

Add a new tool inside the impl Calculator block:

#[tool(description = "Adds a and b")]
async fn add(
    &self,
    Parameters(CalculatorRequest { a, b }): Parameters<CalculatorRequest>,
) -> String {
    (a + b).to_string()
}

-6- Final code

Let's add the last code we need so the server can start:

TypeScript

// Start receiving messages on stdin and sending messages on stdout
const transport = new StdioServerTransport();
await server.connect(transport);

Here's the full code:

// index.ts
import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

// Create an MCP server
const server = new McpServer({
  name: "Calculator MCP Server",
  version: "1.0.0"
});

// Add an addition tool
server.tool(
  "add",
  { a: z.number(), b: z.number() },
  async ({ a, b }) => ({
    content: [{ type: "text", text: String(a + b) }]
  })
);

// Add a dynamic greeting resource
server.resource(
  "greeting",
  new ResourceTemplate("greeting://{name}", { list: undefined }),
  async (uri, { name }) => ({
    contents: [{
      uri: uri.href,
      text: `Hello, ${name}!`
    }]
  })
);

// Start receiving messages on stdin and sending messages on stdout
const transport = new StdioServerTransport();
server.connect(transport);

Python

# server.py
from mcp.server.fastmcp import FastMCP

# Create an MCP server
mcp = FastMCP("Demo")


# Add an addition tool
@mcp.tool()
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b


# Add a dynamic greeting resource
@mcp.resource("greeting://{name}")
def get_greeting(name: str) -> str:
    """Get a personalized greeting"""
    return f"Hello, {name}!"

# Main execution block - this is required to run the server
if __name__ == "__main__":
    mcp.run()

.NET

Create a Program.cs file with the following content:

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.Logging;
using ModelContextProtocol.Server;
using System.ComponentModel;

var builder = Host.CreateApplicationBuilder(args);
builder.Logging.AddConsole(consoleLogOptions =>
{
    // Configure all logs to go to stderr
    consoleLogOptions.LogToStandardErrorThreshold = LogLevel.Trace;
});

builder.Services
    .AddMcpServer()
    .WithStdioServerTransport()
    .WithToolsFromAssembly();
await builder.Build().RunAsync();

[McpServerToolType]
public static class CalculatorTool
{
    [McpServerTool, Description("Adds two numbers")]
    public static string Add(int a, int b) => $"Sum {a + b}";
}

Java

Your complete main application class should look like this:

// McpServerApplication.java
package com.microsoft.mcp.sample.server;

import org.springframework.ai.tool.ToolCallbackProvider;
import org.springframework.ai.tool.method.MethodToolCallbackProvider;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.Bean;
import com.microsoft.mcp.sample.server.service.CalculatorService;

@SpringBootApplication
public class McpServerApplication {

    public static void main(String[] args) {
        SpringApplication.run(McpServerApplication.class, args);
    }
    
    @Bean
    public ToolCallbackProvider calculatorTools(CalculatorService calculator) {
        return MethodToolCallbackProvider.builder().toolObjects(calculator).build();
    }
}

Rust

The final code for the Rust server should look like this:

use rmcp::{
    ServerHandler, ServiceExt,
    handler::server::{router::tool::ToolRouter, tool::Parameters},
    model::{ServerCapabilities, ServerInfo},
    schemars, tool, tool_handler, tool_router,
    transport::stdio,
};
use std::error::Error;

#[derive(Debug, serde::Deserialize, schemars::JsonSchema)]
pub struct CalculatorRequest {
    pub a: f64,
    pub b: f64,
}

#[derive(Debug, Clone)]
pub struct Calculator {
    tool_router: ToolRouter<Self>,
}

#[tool_router]
impl Calculator {
    pub fn new() -> Self {
        Self {
            tool_router: Self::tool_router(),
        }
    }
    
    #[tool(description = "Adds a and b")]
    async fn add(
        &self,
        Parameters(CalculatorRequest { a, b }): Parameters<CalculatorRequest>,
    ) -> String {
        (a + b).to_string()
    }
}

#[tool_handler]
impl ServerHandler for Calculator {
    fn get_info(&self) -> ServerInfo {
        ServerInfo {
            instructions: Some("A simple calculator tool".into()),
            capabilities: ServerCapabilities::builder().enable_tools().build(),
            ..Default::default()
        }
    }
}

#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
    let service = Calculator::new().serve(stdio()).await?;
    service.waiting().await?;
    Ok(())
}

-7- Test the server

Start the server with the following command:

TypeScript

npm run build

Python

mcp run server.py

To use MCP Inspector, use mcp dev server.py which automatically launches the Inspector and provides the required proxy session token. If using mcp run server.py, you’ll need to manually start the Inspector and configure the connection.

.NET

Make sure you're in your project directory:

cd McpCalculatorServer
dotnet run

Java

./mvnw clean install -DskipTests
java -jar target/calculator-server-0.0.1-SNAPSHOT.jar

Rust

Run the following commands to format and run the server:

cargo fmt
cargo run

-8- Run using the inspector

The inspector is a great tool that can start up your server and lets you interact with it so you can test that it works. Let's start it up:

[!NOTE] it might look different in the "command" field as it contains the command for running a server with your specific runtime/

TypeScript

npx @modelcontextprotocol/inspector node build/index.js

or add it to your package.json like so: "inspector": "npx @modelcontextprotocol/inspector node build/index.js" and then run npm run inspector

Python wraps a Node.js tool called inspector. It's possible to call said tool like so:

mcp dev server.py

However, it doesn't implement all the methods available on the tool so you're recommended to run the Node.js tool directly like below:

npx @modelcontextprotocol/inspector mcp run server.py

If you're using a tool or IDE that allows you to configure commands and arguments for running scripts, make sure to set python in the Command field and server.py as Arguments. This ensures the script runs correctly.

.NET

Make sure you're in your project directory:

cd McpCalculatorServer
npx @modelcontextprotocol/inspector dotnet run

Java

Ensure you calculator server is running The run the inspector:

npx @modelcontextprotocol/inspector

In the inspector web interface:

1. Select "SSE" as the transport type
2. Set the URL to: http://localhost:8080/sse
3. Click "Connect"

You're now connected to the server The Java server testing section is completed now

The next section it's about interacting with the server.

You should see the following user interface:

1. Connect to the server by selecting the Connect button Once you connect to the server, you should now see the following:

1. Select "Tools" and "listTools", you should see "Add" show up, select "Add" and fill in the parameter values.

You should see the following response, i.e a result from "add" tool:

Congrats, you've managed to create and run your first server!

Rust

To run the Rust server with the MCP Inspector CLI, use the following command:

npx @modelcontextprotocol/inspector cargo run --cli --method tools/call --tool-name add --tool-arg a=1 b=2

Official SDKs

MCP provides official SDKs for multiple languages:

• C# SDK - Maintained in collaboration with Microsoft
• Java SDK - Maintained in collaboration with Spring AI
• TypeScript SDK - The official TypeScript implementation
• Python SDK - The official Python implementation
• Kotlin SDK - The official Kotlin implementation
• Swift SDK - Maintained in collaboration with Loopwork AI
• Rust SDK - The official Rust implementation

Key Takeaways

• Setting up an MCP development environment is straightforward with language-specific SDKs
• Building MCP servers involves creating and registering tools with clear schemas
• Testing and debugging are essential for reliable MCP implementations

Samples

• Java Calculator
• .Net Calculator
• JavaScript Calculator
• TypeScript Calculator
• Python Calculator
• Rust Calculator

Assignment

Create a simple MCP server with a tool of your choice:

1. Implement the tool in your preferred language (.NET, Java, Python, TypeScript, or Rust).
2. Define input parameters and return values.
3. Run the inspector tool to ensure the server works as intended.
4. Test the implementation with various inputs.

Solution

Solution

Additional Resources

• Build Agents using Model Context Protocol on Azure
• Remote MCP with Azure Container Apps (Node.js/TypeScript/JavaScript)
• .NET OpenAI MCP Agent

What's next

Next: Getting Started with MCP Clients