About Todo MCP Server
A Python MCP server that lets Claude and other compatible clients manage todos through a Todo App API. It exposes todo operations as tools and retrieval as a resource.
Key features
- 01Retrieve todos as a resource
- 02Create and update todos
- 03Delete and complete todos
- 04Expose Todo API operations as tools
Use cases
- 01Retrieve todo lists in an MCP client
- 02Create or revise todo items
- 03Mark items complete or delete them
MCP support
Exposes Todo App API operations as MCP tools and todo retrieval as an MCP resource for compatible clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETodo 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.
Overview
The MCP server uses the Python SDK to expose a REST API (built with Next.js, hosted on Netlify) to MCP-compatible clients. It acts as a lightweight protocol server to retrieve, create, update, and delete todos.
Powered by:
- Python SDK for MCP
- Next.js API routes
- Prisma ORM + PostgreSQL
- JWT-based auth
Features
- Exposes Todo API operations as MCP tools
- Retrieves todos via
@mcp.resource - Supports create, update, delete, and mark-as-complete
- Works with Claude’s chat UI for seamless interaction
Installation & Usage
1. Clone the Repository
git clone https://github.com/Adhishtanaka/todo-mcp-server.git
cd todo-mcp-server
2. Install Python Dependencies
pip install -r requirements.txt
3. Create a .env File
Create a .env file and add your JWT TOKEN:
TOKEN=your_jwt_token_here
4. Run the MCP Server
mcp install server.py
Notes
- This server is built for educational and integration purposes
- Add rate limiting, logging, and error handling for production use
- Secure token handling is essential in deployment
License
This project is licensed under the MIT License.
Author
- Adhishtanaka Thiramithu Kulasooriya
- GitHub: @Adhishtanaka
- Email: [email protected]
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.