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Ejemplo de Servidor MCP Server

@LeoR22

Repository

Basic information

Category

Other

License

View license

Transports

stdio

Author

LeoR22

About Ejemplo de Servidor MCP Server

No overview available yet

#mcp#model-context-protocol#server

Ejemplo de Servidor MCP Server config

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

{
  "mcpServers": {
    "mcp_server_python": {
      "command": "uv",
      "args": [
        "init",
        "mcp-server"
      ]
    }
  }
}

Ejemplo de Servidor MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is Ejemplo de Servidor MCP?

This repository contains an implementation of a Model Context Protocol (MCP) server. It demonstrates how to build a functional MCP server that can integrate with various large language model (LLM) clients.

How to use Ejemplo de Servidor MCP?

Install the uv package manager, initialize a project, add dependencies (mcp[cli] and httpx), and create a main.py server file. Run the server with uv run main.py. For Claude Desktop, configure its claude_desktop_config.json with the absolute path to the server.

Key features of Ejemplo de Servidor MCP

  • Implements the Model Context Protocol as a server
  • Exposes resources, tools, and prompts capabilities
  • Integrates with LLM clients like Claude Desktop
  • Uses Python 3.10+ with the MCP SDK 1.2.0+
  • Lightweight and scriptable via the uv package manager

Use cases of Ejemplo de Servidor MCP

  • Building custom AI assistants with access to local data
  • Connecting LLMs to local files, databases, or remote APIs
  • Prototyping MCP‑based integrations for development and testing

Frequently asked questions

1

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, acting like a USB‑C port for AI apps.

2

What are the system requirements?

Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the `uv` package manager.

3

How do I connect this server to Claude Desktop?

Edit `~/Library/Application Support/Claude/claude_desktop_config.json` with the absolute path to the server directory and the `uv run main.py` command, then restart Claude Desktop.

4

What capabilities can this server provide?

Resources (file‑like data), tools (functions callable by the LLM after user approval), and prompts (predefined templates for tasks).

5

What license is this project under?

This project is licensed under the MIT License.

Comments

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