TODO MCP Server

TODO MCP CLI & Server

This repository contains a minimal Model Context Protocol (MCP) implementation for a to-do list application, including:

• FastAPI server (server/): exposes a /tools endpoint for tool discovery and an /rpc endpoint for JSON-RPC calls to perform operations on tasks.
• CLI client (client/cli.py): a Python command-line interface that interacts with an LLM (via OpenAI) and the MCP server to create, list, and complete tasks using function calls.

Features

• Add tasks with title, content, and optional due date
• List all tasks
• Mark tasks as completed
• Server-side task ID generation
• JSON-RPC 2.0 compliance for tool invocation

Prerequisites

• Python 3.10+
• pipenv or venv for virtual environments
• An OpenAI API key

Installation

1. Clone the repo:
   git clone https://github.com/oseni99/todo-mcp cd todo-mcp
2. Create and activate a virtual environment:
   python3 -m venv .venv source .venv/bin/activate
3. Install dependencies:
   pip install -r requirements.txt
4. Create a .env in the project root:
   OPENAI_API_KEY=sk-... MCP_SERVER=http://127.0.0.1:8000

Directory Structure

Running the Server

• Visit http://127.0.0.1:8000/docs for interactive API docs.

Running the CLI

From the project root:

Type natural language commands at the prompt, for example:

The CLI will print tool invocations and LLM responses.