# MCP Integration

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

An AI - based automatic meeting scheduling assistant based on the Model Context Protocol that can automatically parse When2Meet event information and mark users' available time through natural language or timestamps.

A demonstration of a RAG application integrated with an MCP server, featuring document retrieval, context-aware prompt generation, and LLM API integration.

A Python-based document processing and Retrieval Augmented Generation (RAG) server that uses the DuckDB database to store embedding vectors, supports multiple file format processing, and provides a Web interface and API.

AgentCraft is an enterprise-level AI agent framework that provides secure and scalable intelligent agent services.

workers-mcp is a toolkit that connects Cloudflare Workers to MCP clients, allowing developers to expose Worker functions for use by MCP clients such as Claude Desktop.

The Railway MCP Server is a service based on the Model Context Protocol (MCP) for managing the infrastructure of Railway.app through natural language, including deploying services, managing variables, and monitoring deployments.

A text-to-speech tool based on the MCP server and OpenAI TTS SDK, supporting local environment playback.

gbox is an open-source self-hosted sandbox project that provides a secure execution environment for AI agents, supports various tools such as terminals, browsers, and file operations, and is compatible with the MCP protocol.

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.

The MCP Git tool library provides a series of Git operation functions called through the model context protocol

gbox is an open - source self - hosted sandbox project that provides a secure environment for MCP integration and other AI agent use cases. It includes tools such as a terminal, browser, and file editor, supports local task execution and file processing, and provides Python and Typescript SDKs.

A Gradle-based MCP server for managing Tomcat applications, providing process control, log query, and real-time monitoring functions

A web screenshot tool optimized for AI vision workflows. Automatically segments the entire web page into 1072x1072 pixel tiles to ensure the best processing effect. Supports MCP integration and screen recording functions

The AgentMail MCP server provides tools for interacting with the AgentMail API, supporting functions such as sending, receiving, and replying to emails.

This is an MCP server that connects to the Tuba.ai platform, allowing you to control and interact with AI vision workflows programmatically, providing functions such as execution, monitoring, configuration, and file upload.

A ResourceHacker tool server based on the MCP protocol, which can operate Windows PE file resources through natural language, supporting resource operations such as extraction, modification, addition, and deletion

ImageGen MCP Server is an MCP server that supports multiple AI image generation models (including GPT-Image-1, Google Imagen 4, Flux 1.1, etc.), providing flexible image generation, size adjustment, and output format options, and can be seamlessly integrated into various MCP clients.

The Generect Live API MCP Server provides B2B lead generation and company search tools, supports remote and local deployment, and allows access to various enterprise data services through an API key.

The MCP integration server of the Huly platform provides comprehensive workspace management functions such as project management, issue tracking, document collaboration, calendar events, and time tracking

The Indian Railways MCP service provides an integration of train information query tools

A text-to-speech MCP server based on the built-in say command in macOS

Scraper.is MCP is a web scraping tool integration package based on the Model Context Protocol, enabling AI assistants to access the latest web content through the MCP protocol.

An AI-driven code analysis and optimization tool integrated with MCP services, aiming to improve development efficiency and code quality, and providing functions such as security scanning, performance analysis, and automated testing.

PopUI is a companion application for Claude Desktop on macOS, providing two - way interactive UI tools.

A TypeScript-based MCP server that provides web search and content scraping functions through the Serper API and supports integration with Claude Desktop.

ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.

Brummer is a terminal user interface tool that supports multiple package managers, provides intelligent log management and real - time monitoring, and integrates the MCP server for external tool access.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

A Raindrop.io bookmark management integration tool based on Go, which enables interaction with LLMs through the MCP protocol.