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MCP Server Example

by alejandro-ao

This repository provides an example implementation of a Model Context Protocol (MCP) server for educational purposes. It demonstrates how to build a functional MCP server that can integrate with various LLM clients.

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What is MCP Server Example?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, acting as a standardized way to connect AI models to different data sources and tools.

How to use MCP Server Example?

To use this server, you need Python 3.10 or higher, MCP SDK 1.2.0 or higher, and the uv package manager. Install uv, set up the project, create the server implementation file, and then run the server. You can then connect to it using applications like Claude Desktop by configuring the application to use your MCP server's command and arguments.

Key features of MCP Server Example

  • Standardized context provision for LLMs

  • Growing list of pre-built integrations

  • Flexibility to switch between LLM providers

  • Best practices for securing data

Use cases of MCP Server Example

  • Connecting LLMs to local files

  • Integrating LLMs with databases

  • Accessing remote services (APIs) with LLMs

  • Providing pre-written prompts to LLMs

FAQ from MCP Server Example

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs.

What are the core concepts of MCP?

MCP servers can provide three main types of capabilities: Resources, Tools, and Prompts.

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 install the uv package manager?

On MacOS/Linux, use the command: curl -LsSf https://astral.sh/uv/install.sh | sh

How do I troubleshoot connection issues with Claude Desktop?

Check the configuration file path and permissions, verify the absolute path in the configuration, ensure uv is properly installed, and check Claude Desktop logs for error messages.