A Docker management server based on the Model Context Protocol that provides container management functions through a natural language interface

Implementation of Tally Prime MCP server, used to provide Tally ERP data to mainstream LLMs such as Claude and ChatGPT, supporting the MCP protocol

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

Octagon Deep Research MCP provides AI-driven in-depth research and analysis services, integrates advanced research agents, has no rate limit, is faster than ChatGPT in-depth research, and is more comprehensive than Grok DeepSearch or Perplexity. It supports various MCP clients and is suitable for comprehensive research on any topic or industry.

Voice Mode is a tool that provides natural voice conversation capabilities for AI assistants and supports human - machine voice interaction with LLMs such as Claude and ChatGPT through the MCP protocol.

ResearchMCP is a research tool that combines the Model Context Protocol (MCP) with multiple search engines, aiming to provide research capabilities similar to ChatGPT DeepResearch.

An MCP server that allows Claude Desktop to directly call the ChatGPT API, supporting custom parameters and web search functions.

An MCP server project that supports interaction between AI assistants and the macOS version of the ChatGPT desktop application, enabling cross - application command sending and response retrieval.

A Perplexity AI desktop application based on Electron, with full system permissions and features, including clipboard operations, drag-and-drop functionality, voice and media permissions, etc.

This project includes multiple MCP server and client implementations based on Python 3.11, involving simple applications of the Langgraph framework, multi-server collaboration, and the development of a ChatGPT clone project.

Implementation of the Index Network MCP server for integrating ChatGPT with the Index Network discovery protocol, providing React widget development and hot reload functionality

This project is a stdio server based on the Model Context Protocol (MCP), used to forward prompts to OpenAI's ChatGPT (GPT-4o), supporting advanced summarization, analysis, and reasoning functions, suitable for assistant integration in the LangGraph framework.

A server that interacts with ChatGPT through the MCP protocol for advanced text analysis and reasoning.

A WordPress Trac data MCP service developed in TypeScript, deployed on Cloudflare Workers, providing AI assistants with comprehensive access to WordPress development data and supporting standard MCP clients and ChatGPT Deep Research functions.

The Navidrome MCP server is an AI music assistant that enables intelligent playlist creation, music discovery, and library management through natural language interaction. It supports integration with AI assistants like Claude and ChatGPT.

A lightweight MCP tool based on ChatGPT that screens potential customers through the BANT mechanism (Budget, Authority, Need, Timeline) and guides users to input information step by step.

OmniLLM is an MCP server that serves as a bridge between Claude and other large language models (such as ChatGPT, Azure OpenAI, and Google Gemini), providing a unified AI access interface.

An MCP service project that interacts with the ChatGPT macOS app, providing shortcut instructions and local development support

The Georgia Institute of Technology integrated MCP server provides a comprehensive interface for LLM to access the GT academic research ecosystem, integrating the functions of multiple systems such as course systems, research resources, and campus facilities. It newly adds ChatGPT HTTP API integration and fixes the 500 error of the OSCAR system.

MCP Conceal is a proxy service that performs pseudo-anonymization of personally identifiable information (PII) before sending data to external AI providers (such as Claude, ChatGPT, or Gemini) to protect sensitive information. It detects PII and replaces it with fictional but structurally similar fake data using a consistent mapping relationship, thereby maintaining the semantic relationships and structure of the data while protecting privacy.