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Model Context Protocol Servers

by bitflower

This repository provides reference implementations for Model Context Protocol (MCP) servers, showcasing the versatility and extensibility of MCP. These servers demonstrate how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.

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What is Model Context Protocol Servers?

This repository is a collection of reference implementations for the Model Context Protocol (MCP). MCP servers enable Large Language Models (LLMs) to securely access tools and data sources.

How to use Model Context Protocol Servers?

You can use the servers in this repository directly with npx for Typescript-based servers or uvx or pip for Python-based servers. The README provides examples of how to start each server. To use the servers effectively, configure them within an MCP client like Claude Desktop, specifying the command and arguments needed to run the server.

Key features of Model Context Protocol Servers

  • Reference implementations of MCP servers

  • Demonstrates MCP features and SDKs

  • Provides secure access to tools and data sources for LLMs

  • Includes servers for various services like AWS, Brave Search, GitHub, Google Drive, and more

Use cases of Model Context Protocol Servers

  • Enabling LLMs to retrieve data from knowledge bases

  • Allowing LLMs to perform web searches

  • Giving LLMs access to file systems and databases

  • Integrating LLMs with project management tools like GitLab and GitHub

FAQ from Model Context Protocol Servers

What is the Model Context Protocol (MCP)?

MCP is a protocol that allows LLMs to securely and controlled access to external tools and data sources.

What are reference implementations?

Reference implementations are example servers that demonstrate how to use the Model Context Protocol and its SDKs.

How do I use the servers in this repository?

You can run the servers directly using npx (for TypeScript) or uvx or pip (for Python) and configure them in an MCP client like Claude Desktop.

Are the community servers tested and safe to use?

Community servers are untested and should be used at your own risk, as they are not affiliated with or endorsed by Anthropic.

How can I contribute to this repository?

See the CONTRIBUTING.md file for information about contributing new servers or improvements.