The Model Context Protocol (MCP) has become the standard way AI agents connect to external tools and data sources. The official MCP Servers repository on GitHub is where it all starts — a growing collection of reference implementations that demonstrate how to build MCP-compatible tools for any AI agent.
Official Reference Servers
The modelcontextprotocol GitHub organization maintains several key repositories. The servers repo includes reference implementations for: Fetch (web content retrieval), Filesystem (secure file operations), Git (repository manipulation), Memory (knowledge graph-based persistent memory), Sequential Thinking (dynamic problem-solving), and Time (timezone operations). There is also an Everything reference server that demonstrates all MCP features for testing.
Microsoft MCP Servers
Microsoft has also published their own catalog of official MCP server implementations at github.com/microsoft/mcp, focused on AI-powered data access and tool integration within the Microsoft ecosystem. This is particularly useful for agents that need to interact with Azure, Office 365, or other Microsoft services.
The MCP Registry
The community-driven MCP Registry launched in preview in September 2025 and entered an API freeze (v0.1) in October 2025. This registry allows developers to discover and publish MCP servers, making it easier for agents like OpenClaw, Hermes Agent, and OpenJarvis to find and use available tools automatically.
SDKs for Building Your Own
Want to build your own MCP server? The official Python SDK makes it straightforward. GitHub also released their own MCP server as part of the GitHub Copilot update in April 2025, enabling AI agents to interact directly with repositories, issues, and pull requests via the MCP standard.
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