Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

The Metoro MCP Server is an open-source project that connects Kubernetes cluster data to the Claude desktop application via the Model Context Protocol, enabling AI-driven cluster observation.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

SolidPilot is an open-source SolidWorks AI assistant that uses a modular architecture to interact with local language models (such as Claude) through the MCP protocol, including technical components like the Python layer, C# adapter layer, and COM bridge.

Lspace is an open-source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and integrate it into various tools.

The Amazon Ads API MCP SDK is an open-source toolkit that enables AI applications to securely interact with the Amazon Advertising API through the Model Context Protocol. It supports multi-region and comprehensive API coverage and is used to build AI-driven advertising management applications.

defold-mcp is an open-source Model Context Protocol (MCP) server designed to connect the Defold game engine with modern developer tools and AI-assisted workflows. It provides a set of automation tools for managing Defold projects, generating scripts and resources, debugging and analyzing projects, and supports integration with AI development tools such as Cursor.

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.

MCP Jenkins is an open-source project that bridges Jenkins with AI language models, follows Anthropic's MCP specification, and supports secure and context-aware AI interactions.

This project is an open-source project that builds an MCP (Model Context Protocol) server from scratch using Python. It supports custom packet handling, context management, and basic model integration, aiming to achieve efficient server interaction and communication.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP) that provides real-time web search and data extraction capabilities for AI systems such as Claude. It supports seamless integration with multiple MCP clients (such as Cline, Cursor, and Claude Desktop), enabling AI assistants to access Tavily's advanced search and content extraction functions.

Tavily MCP is an open-source project that enables AI systems to seamlessly connect to Tavily's search and data extraction tools through the Model Context Protocol (MCP) standard, providing AI assistants like Claude with the ability to access real-time web information. The project offers search, extraction, mapping, and crawling tools and supports multiple client configurations.

The Tavily MCP Server is an open-source tool based on the Model Context Protocol (MCP), providing real-time web search and web content extraction functions for AI assistants such as Claude.