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 Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

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.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

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.

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.

MacPilot CLI is an open-source tool that enables large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

A TypeScript bridge project connecting local LLMs to MCP servers, providing a web interface that enables open-source models to use tool capabilities similar to Claude, supporting functions such as file system operations, web search, and complex reasoning.

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.

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 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.

MacPilot CLI is an open-source tool that allows large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

MCP over SSE is an open-source library that implements the Model Context Protocol based on Server-Sent Events. It provides a complete MCP server functionality, including SSE connection management, JSON-RPC message processing, tool registration and execution, and session management.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. The project includes implementations of various functional servers, covering areas such as file systems, databases, search, and API integration, and supports development with TypeScript and Python SDKs.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. This project includes various types of server implementations, covering multiple domains such as file systems, databases, Git, and Slack, and supports TypeScript and Python SDKs.

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.

MCP-OpenLLM is a LangChain wrapper for seamless integration of different MCP servers and open-source large language models (LLMs), supporting the use of LangChain community models.

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.

A RAG system built with open-source embedding models, vector databases, and the Gemini large language model, supporting local document processing and dynamic index update.

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.

One API is an open-source project that provides a unified access interface to various large models through the standard OpenAI API format. It supports multiple large models and third-party proxy services, and has functions such as load balancing, token management, and user grouping. It is suitable for various deployment scenarios.

Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-developed servers, enabling large language models (LLMs) to securely and controllably access tools and data sources. The project includes various types of server implementations covering multiple domains such as file systems, databases, Git, and Slack, demonstrating the diversity and scalability of MCP.

Metoro MCP Server is an open-source server based on the Model Context Protocol that allows users to interact with Kubernetes clusters through the Claude desktop application and provides the function of querying the observability data of the cluster.

Ultra-MCP-Servers is an open-source project that enables users to create and manage their own Model Context Protocol (MCP) servers. It offers a variety of tool and service integrations, such as YouTube transcription, cloud storage, web crawlers, etc., and encourages community contributions.

Easy-MCP-Use is an open-source TypeScript library designed to connect any LLM to any MCP server and build custom agents with tool access rights. It supports multiple LLM models and MCP servers, providing functions such as dynamic server selection, multi-server support, and tool restrictions, enabling developers to easily connect LLMs to various tools.

A small tool that improves the accuracy of WeChat QR code recognition through two-stage detection. First, use YOLOv8 to locate the position of the QR code, and then use the WeChat open-source model to extract the content.

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.