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Todo App using MCP Server

@theatulanand

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基本情報

カテゴリ

生産性

トランスポート

stdio

作者

theatulanand

Todo App using MCP Server について

Todo app using mcp server

#todo#mcp#server#natural-language-processing#mongodb

Todo App using MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "todo-mcp": {
      "type": "http",
      "url": "http://localhost:3000/sse"
    }
  }
}

Todo App using 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。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Todo App using MCP Server?

A simple Todo application enhanced with natural language processing using the Google Gemini API, MongoDB for persistence, and MCP (Model Context Protocol) for real-time updates via Server-Sent Events (SSE). Built with a modular MVC architecture using Express.js, it is intended for developers who want to manage todos through plain‑language commands and receive live updates.

How to use Todo App using MCP Server?

Clone the repository, install dependencies, and create a .env file with PORT, MONGO_URI, and GEMINI_API_KEY. Start the server with npm start. Send POST requests to /api/command with a JSON body containing a "command" field (e.g., {"command": "Add a task to buy milk"}). Supported commands include adding, listing, completing, and deleting todos. Connect to /sse for real‑time updates (requires an MCP‑compatible client).

Key features of Todo App using MCP Server

  • Add todos using natural language (e.g., “buy milk”)
  • List todos, optionally including completed ones
  • Mark todos as complete by MongoDB ID
  • Delete todos by MongoDB ID
  • Real‑time updates via SSE with MCP integration

Use cases of Todo App using MCP Server

  • Quickly capture tasks by speaking or typing natural commands
  • Manage a shared todo list that updates live across clients
  • Experiment with MCP and SSE in a minimal Express.js application
  • Prototype a voice‑friendly task manager backed by a cloud database

よくある質問

1

How does the server interpret natural language?

The server sends the command text to the Google Gemini API, which extracts the intent and parameters (e.g., “add”, “list”, “complete”).

2

What database does it use?

Todos are stored in a MongoDB Atlas (cloud) cluster using Mongoose as the ODM.

3

How do I receive real‑time updates?

Connect to the `/sse` endpoint with an MCP‑compatible client. The server pushes SSE events when todos change.

4

What runtime and dependencies are required?

Node.js v18 or higher, a MongoDB Atlas cluster, and a Google Gemini API key (available from Google AI Studio).

5

How do I configure the application?

Set `PORT`, `MONGO_URI`, and `GEMINI_API_KEY` in a `.env` file in the project root. The server reads these on startup.

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