MCP TODO Server
Enables AI agents and automation tools to manage TODO tasks through full CRUD operations. Built with NestJS and supports both SSE and Stdio transports for seamless integration with Claude Desktop, ChatGPT, and n8n.
README
MCP TODO Server
PortuguΓͺs | English
A robust Model Context Protocol (MCP) server built with NestJS, designed to manage TODO tasks and integrate seamlessly with AI agents like Claude Desktop, ChatGPT, and automation tools like n8n.
π Features
- β TODO Management: Full CRUD operations for tasks.
- π€ MCP Integration: Exposes TODO operations as MCP tools using both SSE (Server-Sent Events) and Stdio (via CLI integration).
- π Swagger UI: Interactive API documentation at
/api/docs. - π MCP Inspector: Built-in support for debugging tools with the
@modelcontextprotocol/inspector. - π οΈ Modern Tooling: Built with TypeScript, Biome for linting/formatting, and Jest for E2E testing.
π οΈ Tech Stack
- Framework: NestJS
- Protocol: Model Context Protocol (MCP)
- Documentation: Swagger/OpenAPI
- Linting/Formatting: Biome
- Testing: Jest & Supertest
π Prerequisites
βοΈ Project Setup
# Install dependencies
$ npm install
# Create environment file
$ cp .env.example .env # Ensure SERVER_PORT=3000 is set
π Compilation and Running
# Development (watch mode)
$ npm run start:dev
# Production mode
$ npm run build
$ npm run start:prod
π API Documentation
Once the server is running, you can access the interactive Swagger documentation at:
http://localhost:3000/api/docs
π€ Using with MCP Clients
1. ChatGPT Desktop (macOS)
- Go to Settings > Advanced and enable Developer Mode.
- Go to Settings > Connectors and click Create.
- Set URL to
http://localhost:3000/sseand Authentication to None.
2. MCP Inspector (Debugging)
To debug the MCP tools locally:
$ npm run inspector
This will open the MCP Inspector at http://localhost:3000/sse.
3. Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-todo": {
"command": "node",
"args": ["/path/to/project/dist/main.js"]
}
}
}
π§ͺ Testing
# Unit tests
$ npm run test
# End-to-end tests
$ npm run test:e2e
π License
This project is UNLICENSED.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.