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.

Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

An AI-driven browser automation server based on the MCP protocol, supporting natural language control of web page operations and in-depth web research.

The Magic Component Platform (MCP) is an AI-driven UI component generation tool that helps developers quickly create modern UI components through natural language descriptions and supports integration with multiple IDEs.

Documentation for resolving Pylance unresolved import warnings

Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

The 302AI BrowserUse MCP Server is an AI-based browser automation server that enables natural language control of browsers and web research through the Model Context Protocol (MCP).

MCP Link is an automated tool that can convert any API conforming to the OpenAPI V3 specification into an MCP server, enabling existing RESTful APIs to be seamlessly integrated into an AI-driven application ecosystem.

K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

MCP server integrating Neovim and Claude for AI-assisted text editing

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

An AI-assisted software development workflow tool based on specification-driven development, providing a real-time dashboard to monitor project progress and document management.

An enterprise-level MCP server development framework based on FastAPI that supports automatic conversion of traditional APIs into AI-callable tools, providing a standardized development process and dependency injection design.

Claude Talk to Figma MCP is a plugin based on the Model Context Protocol that allows AI tools such as Claude Desktop to directly interact with Figma, enabling AI-assisted design capabilities. The project connects the AI client and the Figma plugin through a WebSocket server, supporting design operations such as document analysis, element creation and modification, and text processing.

llmctx is a tool for converting technical documentation into an AI-ready format. It provides preset URLs for quick access to LLM-optimized documentation of popular frameworks and libraries, helping developers obtain accurate and up-to-date context information when using AI programming assistants.

The Korx Share MCP Server is a multi-functional MCP protocol server that, by integrating with the korx.org API, creates secure and shareable URLs for AI-generated visual content (such as charts, dashboards, and HTML pages), while maintaining content interactivity and performing risk filtering.

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.

An MCP server based on Sourcegraph, providing AI-enhanced code search capabilities, supporting advanced queries and content retrieval across code repositories.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

A meta - function architecture server that supports AI to dynamically create and execute custom tools

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

ai-create-mcp is a Go-based tool for converting OpenAPI specification files into Model Context Protocol (MCP) programs, supporting custom project settings and integration options.

Zaturn is an AI-powered data analytics assistant that enables natural language queries to obtain business insights and visualization results without writing code.

An AI-based NPM package analysis MCP server that provides real-time security scanning, dependency analysis, performance evaluation, and other functions. It integrates Claude and Anthropic AI technologies to optimize the management of the npm ecosystem.

NPM Sentinel MCP is an AI-based NPM package analysis server that provides real-time security scanning, dependency analysis, performance evaluation, etc. It supports integration with Claude and Anthropic AI to optimize NPM ecosystem management.

OmniFocus MCP Enhanced is an AI-driven productivity tool that provides native custom view access, hierarchical task management, intelligent filtering, etc., and deeply integrates Claude AI to achieve intelligent workflows.

AI Humanize MCP Server is a powerful model context protocol server that focuses on optimizing AI-generated content into more natural and humanized text.

The Ads Manager MCP Server is an AI-driven advertising management assistant integrated in Claude, providing functions for analyzing, managing, and optimizing advertising campaigns.

Octagon Deep Research MCP provides AI-driven in-depth research and analysis services, integrates advanced research agents, has no rate limit, is faster than ChatGPT in-depth research, and is more comprehensive than Grok DeepSearch or Perplexity. It supports various MCP clients and is suitable for comprehensive research on any topic or industry.

An MCP server implemented for the Transcripter project, providing AI-based transcription search, summary generation, and other functions, supporting a standardized model interaction protocol.

The Kali Linux MCP project encapsulates Kali security tools through the Flask API and provides an MCP bridge service, supporting AI-assisted security testing workflows

ToolBox is an AI-driven automated tool development platform that provides modular architecture, AI-assisted tool generation, enterprise-level service integration, and real-time update functions.

This project implements AI intelligent optimization of Spark code through the MCP protocol, providing code optimization suggestions and performance analysis services.

The Roblex Studio MCP Server is a standalone server designed specifically for Roblox Studio, implementing the Model-Context-Protocol specification and supporting AI-driven workflows through a unified protocol.

Daraja MCP is a middleware server that connects AI systems with the Safaricom M-Pesa payment API, enabling AI-driven financial transaction automation through the standardized MCP protocol.

Zetmem is an AI-assisted memory server project based on the Zettlekasten method, aiming to provide a persistent context memory system for AI programming tools such as Claude, supporting code memory storage, retrieval, and intelligent evolution across sessions and projects.

Cline Memory Bank is a persistent project context management server designed for AI-assisted development. By integrating with the Cline extension in VSCode, it enables project memory functions across sessions, including context maintenance, progress tracking, and technical decision recording.

This project is a Python-based MCP server template designed to simplify the AI-assisted development process and provide a standardized implementation of the tool interaction protocol. It includes a weather service example, embedded protocol documentation, and Cursor Rules integration, supports multiple transmission modes, and helps developers quickly build tools that comply with MCP specifications.