Model Context Protocol servers

What is Model Context Protocol servers?

This repository is a collection of reference implementations for the Model Context Protocol (MCP), showcasing how to give large language models secure, controlled access to tools and data sources. It includes both reference servers and third-party integrations, built with either the TypeScript or Python MCP SDK.

How to use Model Context Protocol servers?

Choose a server from the list of reference or third-party servers, then follow the instructions in its own directory within the repository. No general installation or configuration commands are provided; each server has its own README.

Key features of Model Context Protocol servers?

• Reference implementations built with TypeScript or Python MCP SDKs
• Diverse set of tools: web search, file operations, database queries, browser automation, and more
• Secure, controlled access for LLMs to external data and services
• Third-party servers maintained by companies for production use
• Extensible design to demonstrate MCP capabilities

Use cases of Model Context Protocol servers?

• Give an LLM the ability to search the web or local files
• Enable LLMs to interact with databases (PostgreSQL, SQLite, Redis) in a read-only manner
• Automate browser tasks and scrape web content
• Manage GitHub repositories, Git operations, or cloud resources
• Integrate with productivity platforms like Slack, Google Drive, or Sentry

FAQ from Model Context Protocol servers

What SDKs are used to build these MCP servers?

The servers are implemented with either the TypeScript MCP SDK or the Python MCP SDK.

Are these servers production-ready?

The repository contains reference implementations intended to demonstrate MCP features, and third-party servers are maintained by companies for production use.

What types of data sources do the reference servers cover?

They cover web search, file systems, databases (PostgreSQL, SQLite, Redis), version control (Git, GitHub, GitLab), cloud