A Kubernetes cluster management server based on the MCP protocol, supporting interaction with the Kubernetes cluster through the command line or chat interface, providing functions such as resource management and Helm chart operations.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

This project is a Twitch chat MCP server based on Quarkus. By integrating Twitch chat functionality with the MCP protocol, it provides real - time chat interaction services for tools such as Claude.

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.

An MCP server project that provides Google Chat integration, supporting access to and interaction with Google Chat spaces and messages through MCP tools.

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.

KickMCP is a powerful Kick.com API integration tool that provides complete authentication, chat, channel management, and other functions, simplifying the interaction between developers and the Kick platform.

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.

This project implements an MCP server for interacting with the Wolfram Alpha API, enabling chat applications to perform calculation queries and obtain structured knowledge. It includes an MCP client example based on Gemini, demonstrating how to connect a large - language model to the MCP server for real - time interaction with the Wolfram Alpha knowledge engine.

The NiFi MCP project provides a chat interface based on natural language interaction, allowing users to interact with Apache NiFi instances through LLM models, supporting querying, documenting, and operating NiFi components.

Superargs is a tool that allows dynamic setting of MCP server parameters at runtime, supporting server configuration updates through chat interaction without initial setup.

Google Workspace MCP Server provides integration tools for Gmail and Calendar APIs, supporting email management, schedule arrangement, and Google Chat message interaction functions.

This project is a PPT production service based on the MCP protocol and the python - pptx library. It supports the dynamic creation, editing, and saving of PowerPoint presentations through chat interaction. It provides multiple functions such as adding slides, images, and tables, and can generate download links and export in Base64 format.

MCP - ChatBot is a chatbot application based on the Modular Capability Protocol (MCP). It integrates weather services and the GPT - 4o model through a containerized architecture to provide natural language interaction capabilities.

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.

An intelligent chatbot based on the OpenAI Agents framework, supporting custom tool extensions and web interaction.

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.

A GitHub intelligent chat MCP server based on the Go language, providing natural language interaction with GitHub functions and vector search capabilities

A Go - based GitHub agent chat MCP server that provides natural language interaction with GitHub and vector search capabilities.

A local LLM inference MCP server based on Playwright and Web-LLM, realizing text generation, chat interaction, and model management functions through browser automation.

Intelligent agent system integrating custom MCP protocol and ChatGPT AI template, supporting Gmail and GitHub interaction

The MCP server provides infrastructure connection services for LLM agents, supporting interaction with databases, file storage, Kafka, and web interfaces. It is deployed in a containerized manner and integrated with Gitlab Agent and LLM Chat to achieve automated data pipeline creation

A simple Python client for connecting to the arXiv MCP server for paper search, using the Groq language model to process queries and providing a chat interaction interface.

The Salesforce MCP Connector is a natural - language - based interaction tool that allows users to manage Salesforce data and metadata via chat, supporting multiple functions such as querying, searching, and operating developer tools.

The Perplexity MCP Server is a Node.js - based server that implements Anthropic's Model Context Protocol (MCP) to connect Claude with Perplexity's language models and provides enhanced AI interaction tools. It supports two main tools: advanced chat completion and a simplified single - query interface.

MCP Telemetry is a server based on the Model Context Protocol for conversation tracking and data analysis in a chat system through Weights & Biases Weave. It provides functions such as session tracking, LLM interaction recording, and tool call monitoring, and supports real-time visualization and analysis.

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.

An MCP client application based on Streamlit, supporting connection to multiple LLM providers (such as OpenAI, Anthropic, etc.) and interaction with MCP servers, providing tool testing and chat interface 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 TypeScript project integrating Langchain and MCP tools, supporting interaction with language models through a chat interface and execution of various tools.

Jupythunder is a middleware that connects LLM chat interfaces (such as Claude) with Jupyter Notebook, supporting code conversion, execution, and data visualization analysis through natural language interaction.

A Kusto query chat application based on Azure OpenAI, implementing client/server interaction through the MCP framework.

interactive-mcp is an MCP server implemented based on Node.js/TypeScript, aiming to promote local interaction between large language models (LLMs) and users, providing functions such as user input requests, system notifications, and command-line chat sessions.

A tool for interaction between Claude and the ChatGPT desktop application