servers

This repository offers reference implementations of servers for the Model Context Protocol (MCP), which aims to provide Large Language Models (LLMs) with secure, controlled access to external tools and data sources. Unlike general-purpose LLM tool integration frameworks, these servers demonstrate how MCP can be implemented across multiple languages using official SDKs, serving as educational examples rather than production-ready deployments. The project is useful for senior engineers and tech leads exploring MCP adoption, especially those who want concrete, language-specific starting points for building custom MCP servers. With over 91,000 stars and recent commits, the project shows strong community interest and ongoing maintenance, although it lacks growth signals indicating expanding adoption. It is not suitable if you need a fully supported, production-grade MCP server out of the box; alternatives like the MCP Registry or vendor-specific servers may be better choices for immediate deployment needs.

Choose this if you want to learn or prototype MCP server implementations with official SDKs across various programming languages and need code examples to build upon. If you require a production-ready or fully supported MCP server, consider vendor-maintained servers listed in the MCP Registry or specific MCP integrations like Brave's official MCP server instead.

Typically used in systems that integrate LLMs with external data or tooling under strict access controls, such as internal knowledge retrieval, secure file operations, or dynamic problem-solving workflows. It fits teams building custom MCP servers to enable controlled LLM interactions with web content, Git repositories, or persistent memory within their products.

Latest commit: 2026-10-05. Activity data is based on daily RepoPi snapshots of the GitHub repository.