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.

An MCP server for accessing the SQLite database of the Cursor IDE, supporting AI assistants to explore project data, chat histories, and editor information.

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.

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.

Cursor chat history analysis tool that allows AI assistants to read local chat data through the MCP protocol, providing personalized programming assistance and pattern analysis

An AI assistant chat project based on Gradio, integrating OpenAI API and Nmap tools, providing file system access and network scanning functions.

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.

The ChatterBox MCP Server is a model context protocol service that enables AI assistants to join online meetings (Zoom, Google Meet, Teams), capture meeting transcripts and recordings, and generate meeting summaries.

interactive - mcp is an MCP server implemented based on Node.js/TypeScript, aiming to promote interactive communication between LLMs and users. It provides various tools such as user input requests, system notifications, and persistent chat sessions, suitable for AI assistant scenarios that require local user interaction.

An experimental Kubernetes MCP server that exposes Kubernetes functionality to AI chat interfaces via kubectl, enabling AI assistants to help analyze and manage cluster resources.

The Twitch MCP server is an AI toolset provided for Twitch streamers. It connects chat assistants (such as Gemini CLI, Qwen Coder, Claude Code, etc.) to Twitch chat through the Model Context Protocol (MCP) to implement chat management, content moderation, and audience interaction functions.

A modern MCP server that allows AI assistants to control the Philips Hue smart lighting system through natural language, providing functions such as intelligent light search, room and area management, and scene activation, and optimizing the chatbot interaction experience.

A full-stack web application based on FastAPI that provides a dual AI assistant experience (chatbot and tool-based agent), supports user authentication, real-time chat, history records, and file analysis, and can be deployed on Heroku.

This project provides code examples for developing and running an MCP server on Oracle OCI, including Python development, AI agent integration, semantic search, SelectAI integration, and connection with AI assistants such as ChatGPT, to help build enterprise - level AI applications.

DeepChat is a powerful cross - platform AI assistant that supports the deployment of multiple cloud LLMs and local models, and has rich chatbot functions and search extension capabilities.