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.

An MCP server that provides Twitch chat moderation, live stream management, and API integration, supporting AI systems to interact with Twitch live streams

The ChatData MCP Server is a framework based on the Model Control Protocol, providing a toolset, prompt system, and resource management to enhance the capabilities of large language models.

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

This is an MCP protocol demonstration project based on Cloudflare Workers and Remix 3, showing how to embed an interactive calculator widget in the AI chat interface. The project includes a complete MCP server implementation, state management, and widget communication system, and a hidden Easter egg in the TRON style is specially designed.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

MCP is an AI chat system based on a client - server architecture, which supports extending the functions of Claude AI through multiple dedicated servers (file system, Slack, Brave search), enabling it to intelligently access local files, Slack conversations, and real - time web information.

The knowledge graph memory server is a persistent memory system based on a local knowledge graph that supports remembering user information across chat sessions.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

A TypeScript-based MCP server that provides a memory system for LLMs, supporting multi-platform chat and history record management.

A simple MCP server that provides date and time information for proxy systems and chat REPLs

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.

MCP is an AI chat system based on a client - server architecture that can connect multiple dedicated servers (file system, Slack, Brave search), intelligently analyze user queries, and automatically select appropriate data sources to provide services.

Kash MCP Server is a server that complies with the MCP protocol and can connect AI assistants such as ChatGPT and Claude to the cash register system, enabling the management of sales, orders, products, and report generation through dialogue.

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.

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

MCP is an AI chat system based on a client-server architecture that supports extending the capabilities of Claude AI through multiple dedicated servers (file system, Slack, Brave Search), enabling it to access local files, Slack workspaces, and real-time web information.

This project implements a Langchain - based chatbot system by building multiple MCP servers (mathematical calculation, weather query, LLM selection) and a client. Users can interact with the robot through the Streamlit interface.

The Prem MCP Server is a Model Context Protocol server designed for Prem AI, supporting seamless integration with MCP - compatible clients such as Claude, and providing functions such as chat completion, RAG support, document management, and template system.

An MCP server based on TypeScript that implements a memory system for LLMs, supports multi - provider chatting, and maintains conversation history.

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.

A complete MCP server application based on Windows Forms, integrating LLM API calls, a modern chat interface, tool management, and a configuration system. It can serve as a reference for enterprise-level desktop program development.

Forgejo MCP Server is an integration plugin that connects Forgejo with the MCP system, supporting command execution and repository management through the chat interface.

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.

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 comprehensive chat support system, including a React front - end and a Node.js back - end, with features such as real - time messaging, knowledge base management, and multi - tenant architecture.

An AI chat system based on the MCP protocol, supporting intelligent calls to multiple servers

A restaurant reservation system based on Spring Boot and Spring AI, developed using an API-first approach, integrating client code generated by OpenAPI and AI chatbot functionality, and supporting multiple LLM service providers.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.