servers

This repository is the official collection of reference implementations for the Model Context Protocol, usually shortened to MCP. MCP is an open standard for letting Large Language Models — the AI systems behind chatbots and coding assistants — connect to outside tools and data sources in a structured, controlled way. An MCP server sits between the AI and some specific capability such as the local filesystem, a Git repository, a clock, or a memory store, and exposes that capability to the model through a uniform interface.

The README is explicit that the servers here are reference implementations meant to demonstrate MCP features and SDK usage, not production-ready solutions. It points readers who want a broader catalogue to the separate MCP Registry, and warns developers to evaluate their own security requirements before reusing this code. The repository ships a small set of maintained reference servers: Everything, a test server covering prompts, resources, and tools; Fetch, for web content fetching and conversion for LLM use; Filesystem, with configurable access controls; Git, for reading, searching, and manipulating Git repositories; Memory, a knowledge-graph-based persistent memory system; Sequential Thinking, for structured step-by-step problem solving; and Time, for timezone conversions. Older example servers covering services such as Google Drive, Slack, and PostgreSQL have been moved to a separate archived repository.

You would use this repository to study working examples when building your own MCP server with one of the official SDKs, listed for C#, Go, Java, Kotlin, PHP, Python, Ruby, Rust, Swift, and TypeScript.