This MCP server facilitates direct access to OpenAI's ChatGPT API from Claude Desktop, allowing for dynamic conversations between Claude and ChatGPT. It supports customizable parameters like model versions and temperature, integrates web search for up-to-date information, and utilizes OpenAI's Responses API for automatic conversation state management. This setup enhances Claude's capabilities by leveraging ChatGPT's advanced conversational features.

The FastDomainCheck MCP Server is a Model Context Protocol (MCP) implementation designed to check domain name registration status in bulk. It enables secure, two-way connections between AI tools (such as Claude) and domain availability data, ensuring seamless compatibility. Key features include bulk domain checking, dual verification using WHOIS and DNS, support for Internationalized Domain Names (IDN), and built-in input validation and error handling.

The Google Ads MCP Server provides seamless access to Google Ads data through Claude Desktop, enabling users to analyze campaigns, accounts, and performance metrics. It supports multi-environment configurations, Docker-based deployment, and integrates with Claude Artifacts for data visualization. The server is designed to improve performance with built-in caching and reduce API calls.

The Claude Kubernetes MCP Server is a Go-based implementation designed to orchestrate Kubernetes workloads using Claude AI, ArgoCD, GitLab, and Vault. It provides a REST API for programmatic interaction with these systems, enabling advanced automation and control of Kubernetes environments. The server supports local development, Docker deployment, and production-ready Helm chart deployment for Kubernetes clusters.

The Docker MCP Server integrates with the Model Context Protocol (MCP) to provide AI-powered automation for Docker container management. It enables users to create, monitor, and control containers using natural language commands. Key features include real-time status monitoring, Docker API integration via Dockerode, and extensible MCP tool ecosystem. This server simplifies container lifecycle management and enhances deployment workflows.

MCP RSS is a server implementation of the Model Context Protocol (MCP) designed to interact with RSS feeds. It allows users to parse OPML files to import RSS feed subscriptions, automatically fetch and update articles, and expose RSS content through an MCP API. Features include marking articles as favorites, filtering by source and status, and integration with MySQL for data storage. It is built using TypeScript and JavaScript, and can be configured via environment variables.

This repository provides a variety of MCP (Model-Context-Protocol) server implementations, including services for Git operations such as repository initialization, branch management, and remote operations. It also includes a comprehensive tutorial for developing MCP services from scratch, covering basic concepts, service design principles, and environment setup. The project is structured to facilitate easy addition of new modules and contributions.

This repository provides a ready-to-use TypeScript template for developing Model Context Protocol (MCP) servers. It includes essential scaffolding to create custom AI tools that can be seamlessly integrated with large language models. The template demonstrates how to set up an MCP server, define tools with input validation using Zod, and connect the server to standard I/O for communication.

The IMDB Data Access MCP Server provides a structured way to access and manage IMDB data using the Model Context Protocol (MCP). It includes features like a custom note storage system, a prompt for summarizing notes, and a tool for adding new notes. The server is configured to work with Claude Desktop and supports development and debugging through the MCP Inspector.

This project is a demo MCP server designed to generate MySQL test data, specifically for use in local development environments. It provides a simple and efficient way to create test datasets for MySQL databases, streamlining the development and testing process.

This MCP server provides a bridge between AI agents and the Brex financial platform, allowing agents to retrieve account information, access expense data, manage budget resources, and view team information. It implements standardized resource handlers and tools following the MCP specification, enabling secure and efficient access to financial data. The server supports features like receipt management, expense tracking, and budget monitoring, making it a powerful tool for AI-driven financial operations.

This MCP server is designed to facilitate code reviews by integrating with Large Language Models (LLMs) such as OpenAI, Anthropic, and Gemini. It uses Repomix to flatten codebases, analyzes code with LLMs, and provides structured reviews with specific issues and recommendations. The server supports chunking for large codebases and offers tools for both high-level overviews and detailed code quality assessments.

The Vibe-Coder MCP Server helps LLMs build features in an organized, clean, and safe manner by providing a structured feature clarification process, PRD and implementation plan generation, phased development with task tracking, progress tracking, and document storage and retrieval capabilities. It includes tools for feature clarification, phase and task management, and document handling, making it easier to manage and track the development of LLM-based features.

The MCP-Repo2LLM server is designed to bridge the gap between traditional codebases and modern AI language models by converting repositories into LLM-friendly formats. It addresses challenges such as processing large codebases, maintaining context, and handling multiple programming languages efficiently. Key features include smart repository scanning, context preservation, multi-language support, metadata enhancement, and optimized processing for large repositories.

This MCP server integrates Claude with Gmail, providing functionalities like sending emails, searching with advanced filters, and reading email content. It implements the Model Context Protocol to allow authenticated Gmail operations while maintaining security and privacy. The server supports features like draft management, label handling, and timezone-aware email operations, making it a powerful tool for Claude users.

The MCP-Go SDK provides the building blocks for implementing Model Communication Protocol (MCP) tools and servers. It includes a flexible transport layer, core tool interfaces, and response formatting, making it easy to create MCP-compliant services that integrate with AI applications such as Cursor IDE. The SDK also includes example servers and detailed documentation for quick setup and development.