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.

Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

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.

Klavis AI is an open - source project that provides a multi - functional computing platform (MCP) for use on Slack, Discord, and web pages. It allows non - technical users to easily configure AI workflows, and developers can expand and build on it.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

napi is a tool developed by NanoAPI, aiming to automatically analyze software architecture complexity, support extracting functional modules from the codebase, provide both CLI and UI operation methods, and be compatible with mainstream CI/CD platforms to help developers optimize architecture design.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

Apple Doc MCP is a model context protocol server that provides direct access to Apple developer documentation. It is integrated into the AI programming assistant, supporting intelligent search, framework browsing, and detailed documentation retrieval.

Docfork is an MCP service that provides the latest documentation for AI code editors. It supports documentation synchronization for over 9000 libraries, ensuring that developers can obtain accurate and real-time API documentation and code examples.

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

MCPSvr is an innovative community directory project for MCP servers, originating from the 5ire project. It aims to help developers discover excellent tools and simplify the process of sharing their own MCP servers.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

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.

Shipxy MCP Server is an open-source maritime location service solution that complies with the MCP protocol, providing APIs for real-time ship tracking, port data, route planning and marine weather, and supporting integration with developers and AI agents.

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.

GoPluto MCP is a tool that provides real-time service knowledge, routing rules, and code snippets for AI programming assistants, helping developers quickly obtain the latest verified service provider information and code examples.

This project provides a guide for integrating AI chat functionality into Android Studio, enabling developers to interact with code and projects using natural language, including functions such as code Q&A, modification, explanation, and debugging.

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

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.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

ProtoLink AI is a standardized tool encapsulation framework for implementing and managing diverse tools in a unified way, helping developers quickly integrate and start tool - based use cases.

The Chain of Draft Server is an AI-driven development tool that helps developers optimize design, code, and decision-making through systematic iterative improvement.

A code problem-solving service that combines various AI and community resources. By integrating the analyses of Gemini AI, Stack Overflow, and Perplexity AI, it provides developers with multi - perspective programming solutions.

This project provides an MCP service for Google Developer Experts (GDEs) to conveniently report activities through an AI conversation interface. It supports the submission of various activity types such as content creation, public speaking, and workshops, simplifying the activity reporting process in the GDE project.

MUXI.ai is an open-source framework for multi-AI-agent systems, offering persistent memory, standardized communication protocols, and thought chain tracking. It supports multiple interface integrations and aims to provide a modular and scalable platform for developers to build advanced AI applications.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

This is an MCP server tool for interacting with the X platform through MCP clients (such as Claude, Cursor AI, etc.). It requires a Node.js environment and an X developer API key to run.

The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple categories such as file systems, databases, web search, version control, communication, and developer tools, aiming to expand the capabilities of AI models.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

The Plane MCP Server is a model context protocol server that provides seamless integration with the Plane API, supporting functions such as project management, work item operations, and automation processes. It is suitable for developers and AI tool integration.

The Last9 MCP Server is a server implementing the Model Context Protocol, providing local integration of real - time production environment data (logs, metrics, traces) for AI developers to help quickly and automatically fix code.

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

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.

Nexus is an AI search server based on the Model Context Protocol (MCP), providing zero-configuration installation, intelligent web search, and source citation functions, designed specifically for developers.

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.

Apple Developer Documentation MCP service provides AI programming assistants with the ability to directly access Apple's official development documentation, supporting intelligent search, framework browsing, and detailed documentation retrieval.

The OpenFGA MCP Server is an experimental Model Context Protocol service that enables large language models to read from and write to the OpenFGA authorization store, providing fine-grained permission management capabilities for AI agents and developers.

CereBro.Unity is a model-agnostic AI agent wrapper based on CereBro, supporting the Model Context Protocol (MCP), allowing developers to write tools that can be used across AI models.