The central hub for MCP standard resources, including documentation, specifications, and guides to building and using MCP servers.
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The official specification document for the Model Context Protocol, outlining the standards and requirements for MCP servers. Critical reference for server implementers aiming to build compliant and awesome MCP servers.
An open standard and protocol for building MCP servers that connect AI assistants with various data sources. MCP servers enable secure, two-way connections between data repositories and AI-powered tools, forming the backbone for context-aware AI integrations. The protocol includes specifications, SDKs, and pre-built servers for popular platforms.
Provides a searchable index and marketplace of 5000+ AI agents and tools, allowing users to discover and monitor MCP servers for various tasks.
A curated GitHub repository listing top Model Context Protocol (MCP) servers, providing direct access to a variety of MCP server implementations and resources. Highly relevant as the central directory for discovering and contributing to MCP servers.
A curated GitHub repository listing production-ready and experimental Model Context Protocol (MCP) servers. These servers enable AI models to interact securely with local and remote resources, such as file systems, databases, version control, and more, through standardized MCP implementations. Multiple repositories exist with similar content, including those by strickvl, fmerian, and haris-musa.
An online directory listing various MCP servers, referenced from the awesome-mcp-servers GitHub repository. Useful for browsing and discovering active MCP servers.
The MCP Official Website serves as the central hub for Model Context Protocol (MCP) resources, providing comprehensive documentation, guides, and a server directory for MCP implementations.
No pricing information is provided; most resources appear to be publicly accessible.