FastMCP Todo MCP Server with Scalekit Authentication

A production-ready Python-based Model Context Protocol (MCP) server using FastMCP with Scalekit OAuth 2.1 authentication. It exposes in-memory CRUD tooling for managing todo items.

Features

• Scalekit OAuth 2.1: Secure authentication with scope-based authorization
• In-Memory Todo Store: Create, read, update, and delete todos without external storage
• FastMCP Backend: Modern, fast Python MCP server
• Simple Tool Registration: Easily extend with additional tools
• .env Support: Environment-based configuration

Quick Start

Register your MCP server on Scalekit

1. Login to your Scalekit Dashboard -> MCP Servers -> Add MCP Server
2. Server URL = http://localhost:3002/ should have a trailing slash
3. Create/Associate two scopes with your MCP server:
   • todo:read with description Read todos
   • todo:write with description Create or modify todos
4. Hit Save

MCP server runtime

1. Create Virtual Environment (Python 3.11+ required):

   python3.11 -m venv venv
   source venv/bin/activate
   

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Configure Environment:

   cp env.example .env
   # Edit .env with your Scalekit credentials and server settings
   

   • PORT: (optional) The port the server will listen on. Defaults to 3002.
   • SCALEKIT_ENVIRONMENT_URL: Your Scalekit environment URL (required).
   • SCALEKIT_RESOURCE_ID: Your Scalekit MCP server resource ID (required).
   • MCP_BASE_URL: The MCP server URL as registered in the Scalekit dashboard (required; e.g., http://localhost:3002/). This MUST have a trailing slash.

   Note: After editing .env, restart the server for changes to take effect.

4. Run the Server:

   python server.py
   

   The server will start on http://localhost:3002/ (or the port you set in .env).

Connect to your todo MCP server

You can use any MCP-compatible client to interact with your todo MCP server. For testing, you can use mcp-inspector

1. Start mcp-inspector:

   npx @modelcontextprotocol/inspector@latest
   

2. In the UI, set the MCP URL to http://localhost:3002/ (or your configured URL) and connect. You can now use the available tools.

Available Tools

create_todo

• Description: Create a new todo item
• Scopes Required: todo:write
• Parameters:
  • title (string) - Todo title
  • description (optional string) - Todo description

list_todos

• Description: List todos, optionally filtering by completion state
• Scopes Required: todo:read
• Parameters:
  • completed (optional boolean) - When provided, return only todos with this completion status

get_todo

• Description: Retrieve a single todo by ID
• Scopes Required: todo:read
• Parameters:
  • todo_id (string) - Identifier returned by create_todo

update_todo

• Description: Update fields on an existing todo
• Scopes Required: todo:write
• Parameters:
  • todo_id (string) - Identifier returned by create_todo
  • title (optional string) - New title
  • description (optional string) - New description
  • completed (optional boolean) - Updated completion state

delete_todo

• Description: Delete a todo by ID
• Scopes Required: todo:write
• Parameters:
  • todo_id (string) - Identifier returned by create_todo

Authentication

The server implements Scalekit OAuth 2.1 authentication:

• Bearer Token Validation: All MCP requests require valid Bearer tokens
• Public Endpoints: OAuth discovery endpoint are publicly accessible
• OAuth 2.1 Compliance: Returns proper error responses

API Endpoints

Environment Variables

Development

Adding New Tools

1. Define and register the tool in server.py:

   @mcp.tool
   def your_tool(param: str) -> str:
       """Describe your tool here."""
       return "result"
   

2. Document the tool in this README under "Available Tools".

License

This project is licensed under the MIT License.