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MCP para todo – Servidor modular con herramientas útiles

@elsantiwg

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elsantiwg

MCP para todo – Servidor modular con herramientas útiles について

🌐 Servidor MCP (Model Context Protocol) con herramientas útiles. Conecta LLMs con APIs reales: clima, cálculos, diccionario y más. TypeScript + Node.js.

#mcpe#mcp#mcp-server

MCP para todo – Servidor modular con herramientas útiles 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": {
    "MCP-para-todo": {
      "command": "node",
      "args": [
        "--version",
        "#",
        "≥",
        "18.0.0"
      ]
    }
  }
}

MCP para todo – Servidor modular con herramientas útiles 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 🌐 MCP para todo?

It is an educational MCP (Model Context Protocol) server that connects language models like ChatGPT with external tools in real time. Built in TypeScript with a modular, extensible architecture, it implements three built‑in tools: weather lookup, word definitions, and math evaluation.

How to use 🌐 MCP para todo?

Clone the repository, run npm install, copy .env.example to .env, and add your API keys for OpenWeather and DictionaryAPI. Start the server with npm run dev. Any MCP‑compatible client can then call the tools (e.g., get_weather, word_definition, evaluate_math) via WebSocket.

Key features of 🌐 MCP para todo

  • Three pre‑built tools: get_weather, word_definition, evaluate_math.
  • Integrates with OpenWeather and DictionaryAPI.
  • Modular design for easy addition of new tools.
  • Compatible with any client that implements the MCP standard.
  • Written in TypeScript 5.0+ and runs on Node.js 18+.

Use cases of 🌐 MCP para todo

  • Smart assistants that answer weather, definitions, or math queries in real time.
  • Customer service bots with access to live data.
  • Personal assistants that combine conversation with external information.
  • Automation pipelines that offload calculations or dictionary lookups to an LLM.
  • Business systems that embed AI reasoning with real‑world data.

よくある質問

1

What runtime is required?

Node.js 18+ and npm 9+.

2

How do I configure the server?

Copy `.env.example` to `.env` and fill in your `OPENWEATHER_API_KEY` and optionally the `DICTIONARY_API_URL`.

3

What transport protocol does the server use?

The connection example uses WebSocket (`ws://localhost:3000`).

4

How can I add a new tool?

Create a handler file in `src/tools/` following the `ToolHandler` interface, then register it in `src/tools/index.ts`.

5

Is authentication required?

External API keys are used for weather and dictionary services; no built

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