🌐 MCP para todo – Servidor modular con herramientas útiles

Name: 🌐 MCP para todo – Servidor modular con herramientas útiles
Author: elsantiwg

@elsantiwg

About 🌐 MCP para todo – Servidor modular con herramientas útiles

🌐 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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "MCP-para-todo": {
      "command": "node",
      "args": [
        "--version",
        "#",
        "≥",
        "18.0.0"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.