Model Context Protocol servers

What is Model Context Protocol Servers?

Model Context Protocol (MCP) servers are reference implementations that provide secure and controlled access for Large Language Models (LLMs) to various tools and data sources. This repository showcases the versatility of MCP through various server implementations.

How to use Model Context Protocol Servers?

To use MCP servers, you can run them directly using npx for TypeScript-based servers or uvx/pip for Python-based servers. For example, to start the Memory server, you can use:

npx -y @modelcontextprotocol/server-memory

Key features of Model Context Protocol Servers?

• A collection of reference implementations for MCP.
• Integration with various tools and data sources like AWS, Google Drive, GitHub, and more.
• Support for both TypeScript and Python SDKs.
• Community-driven development with numerous third-party and official integrations.

Use cases of Model Context Protocol Servers?

1. Enabling LLMs to interact with cloud services like AWS and Google Drive.
2. Automating browser tasks and web scraping.
3. Managing databases and performing data analysis.
4. Facilitating project management through integrations with tools like Jira and GitHub.

FAQ from Model Context Protocol Servers?

• What is the Model Context Protocol?

It is a protocol designed to give LLMs secure access to various tools and data sources.

• Can I create my own MCP server?

Yes! The documentation provides comprehensive guides on creating custom MCP servers.

• Is there community support available?

Yes! You can join the GitHub Discussions or the community Discord server for support.