Todo App with MCP Server

@sam55silver

リポジトリ

基本情報

カテゴリ

生産性

トランスポート

stdio

作者

sam55silver

Todo App with MCP Server について

A demo project connecting AI assistants to a Todo app using Model Context Protocol. Features React frontend, FastAPI backend, and Claude Desktop integration.

#todo #mcp #ai-assistant

Todo App with MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Todo App with MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Todo App with MCP Server?

A demonstration project that builds a Model Context Protocol (MCP) server for a simple Todo application. It integrates a React/TypeScript frontend, a FastAPI backend, and an MCP server to enable AI systems (such as Claude) to interact with Todo items through standardized tools.

How to use Todo App with MCP Server?

Start all services with docker-compose up, which launches the frontend on port 5173 and the backend on port 8000. To use the MCP server with Claude Desktop, add a todo-mcp entry to the mcpServers section of the Claude Desktop configuration file, pointing to the todo-mcp directory and running main.py with uv.

Key features of Todo App with MCP Server

Implements the Model Context Protocol (MCP) open standard
Provides tool-based interaction with the Todo application
Three‑component architecture: React frontend, FastAPI backend, MCP server
Ready‑to‑run with Docker Compose
Integrated with Claude Desktop for AI‑driven Todo management

Use cases of Todo App with MCP Server

Demonstrating how to build an MCP server for a typical CRUD application
Enabling Claude Desktop to create, read, update, and delete Todo items
Learning the MCP client‑server architecture with a concrete example

よくある質問

What exactly is the Model Context Protocol (MCP)?

MCP is an open standard developed by Anthropic that allows AI systems to dynamically connect with external tools, files, and APIs using a client‑server architecture. It provides a standardized way for AI models to access real‑time data and execute operations through defined tools.

What are the prerequisites for running this project?

You need Docker and Docker Compose, Node.js, Python, UV (Python package manager), and Claude Desktop (for using with Anthropic’s Claude AI).

How do I start the application?

Run `docker-compose up` in the project root. This will start the frontend (port 5173) and backend (port 8000) services.

How do I configure Claude Desktop to use the MCP server?

Edit the Claude Desktop configuration file (`claude_desktop_config.json`). Add a `todo-mcp` server entry under `mcpServers` with the `command` `uv`, `args` pointing to the `todo-mcp` directory and `main.py`, then restart Claude Desktop.

What transports or authentication does the MCP server use?

The README does not specify transport or authentication details; it only describes configuration via the Claude Desktop configuration file.

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