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Smithery

Smithery is a resource listing over 2,200 MCP servers, providing automated installation guides to streamline the deployment of server environments. (Merged with 'smithery.ai')

Open-Source Repository of MCP Servers

A collection of open-source MCP server implementations for popular enterprise systems like Google Drive, Slack, GitHub, Git, Postgres, and Puppeteer. These servers demonstrate the MCP standard in action and offer ready-to-use solutions for connecting AI tools to real-world data sources.

Ai Agent Marketplace Index Mcp

Provides a searchable index and marketplace of 5000+ AI agents and tools, allowing users to discover and monitor MCP servers for various tasks.

imap-mcp

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.

mcpmcp-server

An MCP server aggregator that lists available MCP servers, helping users discover which servers can optimize their workflows. Directly supports the MCP server ecosystem.

List of all MCP Servers

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.

MCP Server Finder

A comprehensive MCP server discovery tool that provides tutorials and implementation guides alongside a searchable directory of available MCP servers.

MCP Servers Repository

The official repository aggregating MCP server implementations and resources, offering documentation, setup guides, and access points for developers starting with MCP servers.

Awesome Awesome MCP Servers

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.

Awesome 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.

hustcc/awesome-mcp-servers-1

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.

MCP Servers Collection

A resource offering a diverse selection of MCP servers, including solutions for BigQuery, CLI, document conversion, and media generation.

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