This project is an implementation of an MCP server integrated with the Sonar API, providing real-time web search capabilities for Claude. It includes guides on system architecture, tool configuration, Docker deployment, and multi-platform integration.

Awesome - MCP - ZH is a collection of MCP (Model Context Protocol) resources tailored for Chinese users, including basic introductions, usage guides, client, server, and community resources to help users quickly get started with MCP.

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.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

The official Svelte MCP server project provides development setup guides, local debugging tools, and database management functions.

Clippy is a macOS terminal clipboard tool that supports copying file references, GUI pasting, management of recently downloaded files, processing of pipeline data, and AI integration with the MCP server, improving work efficiency.

This project provides a configuration guide for the MCP service integrated with Shortcut, supporting operation in AI development tools such as Windsurf, Cursor, and Claude Code, including installation instructions, FAQs, and local development testing methods.

Scenic MCP is an external input control protocol server for Scenic GUI applications, supporting the injection of keyboard and mouse inputs into Scenic applications via a TCP connection.

An interactive web tutorial for learning how to build an MCP (Model Context Protocol) server, providing step-by-step guidance and real-time code examples.

This is an automated deployment script project for installing and configuring multiple Model Context Protocol (MCP) robot services on a Windows system, including functions such as file system, GitHub, search, and memory management, and provides detailed installation guides and troubleshooting methods.

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.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

An offline documentation MCP server for Garmin Connect IQ SDK, providing complete access to version 8.2.3 documentation for AI assistants, including API documentation, programming guides, device references, and troubleshooting resources.

A toolkit that helps users publish MCP servers, providing publishing guidance and support for an automated CI/CD workflow

An MCP server based on the Twilio API for securely processing payment processes during voice calls, supporting asynchronous callbacks and guided workflows.

Configuration guide for the MCP server of Think Server

A programming specification management server based on the MCP protocol for unified management and distribution of programming guidelines and rules

This project is an experimental Model Context Protocol (MCP) server for interacting with the Algolia API. It allows users to perform operations such as searching, adding data, and updating index configurations through the MCP protocol. The project provides installation guides, debugging methods, and instructions for integrating with Ollama, but clearly states that it does not provide official support.

Spec Workflow MCP is a tool that guides AI to systematically complete software development through a structured workflow (requirements → design → tasks) to ensure that code implementation is consistent with business requirements.

Deployment Guide for Web Crawler MCP Server

An interactive LeetCode MCP server that provides AI - guided authentication, learning guidance mode, code submission, and detailed feedback functions, supporting multi - language programming practice and user data tracking.

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.

This project is a research and documentation on the Model Context Protocol (MCP), including technical analysis, implementation solutions, usage guides, and other resources, aiming to comprehensively introduce the MCP ecosystem.

This project is a CSS teaching MCP server built on Node.js and TypeScript, providing personalized CSS feature update services, including resource management, tool invocation, and prompt guidance functions.

This project provides a comprehensive guide for implementing a Model Context Protocol (MCP) server for Cursor AI, including basic concepts, implementation steps, code examples, and integration requirements, aiming to enhance the AI's capabilities through custom tools.

A customized version of NextChat that creates and deploys MCP servers through chat interactions, integrates LLM models from OpenRouter, and provides functions such as tool extraction, one-click deployment, and AI system integration guides.

Tasker MCP integration guide, providing a complete process from installing dependencies to running the service, supporting connection to MCP applications through the CLI server and extending task functions.

Guide to setting up and running the Thingsboard MCP Server

A minimal MCP server project demonstrating how to implement GitHub OAuth authentication, including guides on GitHub App registration and testing.

This project provides a complete guide for building an MCP server, which is used to deploy trained random forest models and integrate with the Bee framework to implement ReAct interaction functions.

MEMEX is a knowledge management server based on the MCP protocol, used to manage technical guides and AI context, providing functions for creation, search, update, and deletion, and supporting semantic search and integration with Claude AI

The Vaali MCP server is an open - source project that demonstrates advanced AI agent capabilities. Through interactive parameter collection and workflow automation, it implements two modes: official MCP inquiry and intelligent parameter guidance, and supports cloud deployment and local integration.

The Arc MCP Server is a Model Context Protocol server that simplifies framework deployment, focusing on shared hosting environments, supporting multi - platform deployment and guided operations.

GUI automated testing and control MCP service based on PyAutoGUI

An MCP server that provides modern web design guidance for LLMs, including principles and best practices for layout, color, typography, responsive design, etc., to help generate better web designs.

WC26 MCP is an MCP server that provides 2026 World Cup data for AI, including 18 tools such as matches, teams, stadiums, city guides, fan zones, historical match records, visa information, news, injuries, odds, standings, and knockout stage brackets. No API key or external dependencies are required.

The OpenFeature MCP Server is a local tool that connects AI programming assistants to OpenFeature capabilities through a standardized protocol, providing SDK installation guidance and feature flag evaluation capabilities, and supporting multiple AI development environments.

An MCP server that provides a database of Apple App Store review rejection reasons, solutions, and real - world cases for AI assistants, containing 48 rejection reasons, 51 solutions, 554 real - world cases, and 130 Apple review guidelines.

A guide to setting up the integration between Zendesk and MCP, providing Zendesk ticket management functionality

Lucidity is a Model Context Protocol (MCP) server that aims to improve the quality of AI-generated code through intelligent prompt analysis. It provides structured guidance to help identify and resolve code quality issues, supports multiple programming languages, and can seamlessly integrate with AI assistants.