Todo MCP Server
@Adhishtanaka
About Todo MCP Server
This repository provides an MCP (Model Context Protocol) server for interacting with the Todo App through Claude and other MCP-compatible AI tools. This project allows AI agents to access and manage todos using the standardized MCP interface.
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
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Overview
What is Todo MCP Server?
A Model Context Protocol (MCP) server that exposes the Todo App REST API as MCP tools, allowing AI agents like Claude to retrieve, create, update, and delete todos. Built with the Python MCP SDK, it acts as a lightweight protocol bridge between MCP-compatible clients and a Next.js/Netlify-hosted backend powered by Prisma ORM and PostgreSQL.
How to use Todo MCP Server?
Clone the repository, install Python dependencies with pip install -r requirements.txt, create a .env file with your JWT TOKEN, then run mcp install server.py to register the server.
Key features of Todo MCP Server
- Exposes Todo API operations as MCP tools
- Retrieves todos via
@mcp.resourcedecorator - Supports create, update, delete, and mark-as-complete
- Works with Claude chat UI for seamless interaction
- Uses JWT-based authentication for secure access
- Built on Python SDK, Next.js, Prisma, and PostgreSQL
Use cases of Todo MCP Server
- Allow Claude or other AI assistants to manage a user's todo list conversationally
- Integrate task management into AI-driven workflow automation tools
- Demonstrate MCP protocol integration with a real-world REST API
- Educational sandbox for learning MCP server development with Python
FAQ from Todo MCP Server
What backend does Todo MCP Server connect to?
The server communicates with a Todo App built with Next.js API routes, hosted on Netlify, using Prisma ORM with PostgreSQL as the database.
How is authentication handled?
Authentication uses JWT tokens. Users must provide a valid JWT TOKEN in a .env file before running the server.
Is this production-ready?
No. The README notes the server is for educational and integration purposes and recommends adding rate limiting, logging, and error handling for production deployment.
What transport protocol does it use?
—
What are the runtime dependencies?
Python SDK for MCP, the Todo App's REST API, Prisma ORM, and a PostgreSQL database. The server itself runs as a Python process.
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