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MCP Servers Learning Project

by sagarnildass

Development/ToolsClaudeServerPythonTypeScriptAPI

This repository provides examples and implementations of Model Context Protocol (MCP) servers and clients. MCP allows LLMs like Claude to interact with external tools and data sources in a standardized way.

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What is MCP Servers Learning Project?

This project contains several MCP server examples, including a weather server, a documentation server, and a terminal server. These servers demonstrate how to expose tools and resources to LLMs like Claude using the Model Context Protocol.

How to use MCP Servers Learning Project?

To use these servers, you need Python 3.10+ or Node.js/npm for TypeScript examples, and the MCP SDK 1.2.0+. Install dependencies using uv add "mcp[cli]" httpx or pip install "mcp[cli]" httpx. Run the servers using python <path_to_server.py> or mcp dev <path_to_server.py>. Connect to Claude Desktop using mcp install <path_to_server.py>.

Key features of MCP Servers Learning Project

  • Provides sample MCP server implementations

  • Includes Python and TypeScript examples

  • Demonstrates tools and resources implementation

  • Covers error handling and input validation

Use cases of MCP Servers Learning Project

  • Connecting LLMs to external data sources

  • Exposing custom tools to LLMs

  • Building documentation servers for LLMs

  • Creating terminal access tools for LLMs

FAQ from MCP Servers Learning Project

What is MCP?

MCP stands for Model Context Protocol, a protocol that allows LLMs to interact with external tools and data sources.

What are tools in MCP?

Tools are functions that can be called by Claude to execute code or produce side effects.

What are resources in MCP?

Resources are data exposed to Claude that can be read and referenced.

How do I connect an MCP server to Claude?

Use the command mcp install <path_to_server.py>.

What are the prerequisites for running these servers?

You need Python 3.10+ or Node.js/npm for TypeScript examples, and the MCP SDK 1.2.0+.