Ejemplo de Servidor MCP
@LeoR22
About Ejemplo de Servidor MCP
No overview available yet
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp_server_python": {
"command": "uv",
"args": [
"init",
"mcp-server"
]
}
}
}Tools
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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
uvpackage 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
FAQ from Ejemplo de Servidor MCP
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.
What are the system requirements?
Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the uv package manager.
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.
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).
What license is this project under?
This project is licensed under the MIT License.
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