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.

Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.

An MCP server based on Express.js, providing encryption tools including key pair generation, shared key derivation, and message encryption/decryption functions, and supporting SSE real-time communication.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

This project is an integrated MCP server suite with various functions, including media tools, information retrieval, PDF generation, and presentation creation services, which need to be configured and run separately.

An SSE-based MCP server providing image and video generation tools

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

This project implements an MCP server and client for building intelligent agent applications based on Retrieval Augmented Generation (RAG). The server provides tools such as entity extraction, query optimization, and relevance checking, and the client demonstrates how to connect to the server and use these tools to enhance the performance of the RAG system.

BugBounty MCP Server is a comprehensive security testing tool that interacts with LLM through natural language, providing over 92 penetration testing tools, covering functions such as reconnaissance, scanning, vulnerability assessment, web applications, network security, OSINT, vulnerability exploitation, and report generation.

This is a tool that provides a complete MCP server for RPG Maker MZ game development, supporting the automatic generation of game projects, maps, events, database content, and game assets through MCP tools and AI (Gemini), enabling programming - based or AI - driven game development without a GUI.

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

Media Gen MCP is a server that strictly follows the TypeScript and MCP specifications, focusing on generating and editing images and videos using OpenAI and Google's AI models. It provides a series of tools, including image generation/editing, video creation/remixing, file acquisition and processing, and supports intelligent resource linking and inline output. It is suitable for various MCP-compatible clients.

A TypeScript-based MCP server that implements a simple note-taking system, providing note resource management, creation tools, and summary generation functions.

The MCP Git Commit Generator is a tool based on the Model Context Protocol that can automatically generate commit messages conforming to the Conventional Commits specification based on staged git changes. It supports multiple installation methods (uvx, PyPI, Docker) and various MCP client configurations, provides functions such as automatic commit message generation and git status checking, and includes developer tools and debugging support.

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

An MCP server based on TypeScript, implementing a simple note system that provides note resource management, creation tools, and summary generation functions.

HAL is an MCP server that provides HTTP API capabilities for large language models, supporting network requests through a secure interface and automatic generation of tools from OpenAPI specifications.

An MCP server based on TypeScript that implements a simple note-taking system for NextJS, providing note resource management, creation tools, and summary generation functions.

An MCP server based on TypeScript that implements a simple note-taking system, providing note resource management, creation tools, and summary generation functions.

This is a project for quickly starting and running the MCP server development environment, providing TypeScript sample code and generation tools.

MCP-Forge is a scaffolding tool for quickly creating MCP server projects, providing project structure generation, sample code, and testing tools, and supporting two transport modes, SSE and stdio.

An MCP toolset based on the Volcengine Seedream 4.0 API, providing functions such as text - to - image, image - to - image, multi - image fusion, and sequential image generation, supporting automatic Qiniu Cloud upload, prompt templates, and local picture saving.

The Miro MCP Server is a high-performance tool developed in Go language, providing 77 tools to control Miro whiteboards, supporting AI integration, chart generation, bulk operations, etc. It runs through a single binary file and is compatible with all major AI tools and platforms.

ChatBI MCP Server is an LLM - based data analysis service that supports code generation, data statistics, and visualization through natural language instructions, and can be integrated with client tools to achieve automated analysis.

An MCP server based on TypeScript that implements a simple note system, providing note resource management, creation tools, and summary generation functions.

MCP Kling is the first and only complete Kling AI MCP server, offering 13 creative tools that support video generation, image processing, lip-syncing, and virtual try-on, enabling seamless integration with Claude, suitable for content creators and developers.

An MCP server based on TypeScript that implements a simple note system, providing note resource management, creation tools, and summary generation functions.

A service toolset based on the Model Context Protocol, providing functions such as encoding conversion, network diagnosis, system monitoring, security encryption, and QR code generation, and supporting LLM agents to call system tools.

Claude MCP is a server tool system that enhances Claude's code generation capabilities. By providing the latest documentation and API access, it ensures that the generated code follows the latest best practices. The system supports local or shared deployment, includes tools such as document scraping, and can expand its functions through modularization.

MiniMax MCP JS is a MiniMax MCP protocol toolset implemented in JavaScript/TypeScript, providing functions such as image generation, video generation, and text-to-speech, and supporting interaction with MCP-compatible clients.

The Pinecone Developer MCP Server is a service based on the Model Context Protocol standard, aiming to connect AI tools with Pinecone projects, providing functions such as document search, index configuration, code generation, and data operation.

The Modal MCP Toolbox is a collection of tools running on the Modal platform. Based on the Model Context Protocol (MCP), it can provide extended functions for LLMs, such as Python sandbox code execution and FLUX model image generation.

This project is an MCP server based on Google Cloud Vertex AI Gemini model, providing a rich toolset for code assistance and general Q&A, supporting web search-enhanced answers, document explanation generation, file system operations, and other functions.

The ComfyUI MCP Server is a service implementation for integrating ComfyUI with MCP. It needs to be used with a running ComfyUI server and provides multiple built-in tools such as text-to-image generation, image downloading, and running custom workflows. It supports running in UV or Docker mode.

A Monorepo project containing various web development tools, providing functions such as encoding conversion, color processing, date - time manipulation, and QR code generation, and implementing request - response processing through MCP server integration.

The MCP RAG Server is a retrieval-augmented generation service based on the Model Context Protocol. It automatically indexes project documents through local tools (ChromaDB and Ollama) and provides context enhancement capabilities for connected LLMs.

This project is an MCP server that connects Claude and the Umami analytics platform, providing website data analysis tools, including user behavior tracking, performance indicator monitoring, and visual dashboard generation.

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.