A categorized directory of MCP servers, organized by functionality such as data storage, cloud infrastructure, and AI tools, providing a comprehensive overview of available implementations.
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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.
A curated GitHub repository listing production-ready and experimental Model Context Protocol (MCP) servers. It serves as a central resource for discovering, evaluating, and utilizing MCP servers that enable AI models to interact with local and remote resources via standardized protocols.
A centralized and up-to-date repository offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation, and contributor information. Ideal for discovering and comparing the best MCP servers available.
A categorized directory of MCP servers, organized by functionality such as data storage, cloud infrastructure, and AI tools, providing a comprehensive overview of available implementations.
Source: https://portkey.ai/mcp-servers