HiveChat is an AI chat application designed for small and medium - sized teams. It supports multiple large - model service providers and provides functions such as group management, Token limits, and third - party login.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

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.

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-flowise is a Python package that implements a Model Context Protocol (MCP) server integrated with the Flowise API. It supports both dynamic tool registration and static configuration modes and is suitable for the integration of Flowise chat flows or assistants.

The Kobold MCP Server is a server implementation based on the Model Context Protocol, used for integrating with KoboldAI, providing functions such as text generation, chat completion, and OpenAI - compatible API.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

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.

Deep-Co is a cross-platform chat client developed based on Compose Multiplatform. It supports multiple LLM API providers, including OpenRouter, Anthropic, Grok, OpenAI, etc., and is compatible with OpenAI API and local models. It has functions such as chat record management, prompt management, role adaptation, TTS, etc., and supports multiple languages and theme customization.

A full-stack application that integrates the Model Context Protocol (MCP) with Anthropic's Claude LLM, providing an interactive chat interface and utilizing MCP tools.

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

An interactive chat assistant that combines the capabilities of the Ollama large - model and PostgreSQL database access, supporting natural language querying of databases and generating SQL queries.

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.

Ollama Chat with MCP is a project that demonstrates how to integrate a local language model with real-time web search functionality through the Model Context Protocol (MCP). It includes an MCP web search server, a terminal client, and a Gradio-based web front-end, enabling locally run LLMs to access external tools and data sources.

GitHub Chat MCP is a Model Context Protocol tool for analyzing and querying GitHub repositories through the GitHub Chat API, providing repository indexing and querying functions.

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.

mcp - scaffold is a development sandbox for verifying the Model Context Protocol (MCP) server, providing support for local LLMs (such as LLaMA 7B) and cloud inference, including a chat interface and reference architecture.

A simplified MCP server based on the Chatterbox TTS model, providing text-to-speech generation and automatic playback functions, supporting real-time progress notifications and automatic model loading.

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to seamlessly integrate with the privateGPT API through an MCP client to achieve functions such as chat, knowledge source management, and permission control.

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.

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.

The MCP Context Provider is a static MCP server that provides a persistent tool context for AI models, preventing context loss between chat sessions. It automatically loads and injects tool - specific rules, syntax preferences, and best practices to ensure consistency across sessions.

The Spring AI MCP client is a chat application based on Spring AI and Anthropic Claude/OpenAI models, which interacts with the server through the MCP protocol and supports AI-driven dialogue functions.

GitHub Chat MCP is a Model Context Protocol tool for analyzing and querying GitHub repositories through the GitHub Chat API.

The MCP Chat Analysis Server is a service based on the Model Context Protocol (MCP), providing semantic analysis functions for chat conversations, including vector embedding search, knowledge graph construction, and conversation pattern analysis.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

An MCP server integrated with the Gemini CLI tool, providing chat, content generation, and model list functions.

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.

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 chat platform integrating LangChain, a custom MCP server, and Google Gemini AI model, providing enhanced conversation functions.

A sample chat application demonstrating integration with the Model Context Protocol (MCP) server

The MCP Chat Adapter is a server based on the MCP protocol that provides a standardized interface for LLMs to interact with the OpenAI-compatible API. It focuses on chat model scenarios and supports conversation management and persistent storage.

A WeChat automation server based on MCP technology, providing functions for obtaining chat records and sending messages, supporting multiple operation modes such as single - sending and mass - sending.

The OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.

The Optuna MCP Server is a service based on the Model Context Protocol (MCP) that automates the optimization and analysis process using Optuna. It supports various application scenarios, such as automatic hyperparameter optimization for LLMs, interactive analysis of optimization results through a chat interface, and optimization of the input and output of other MCP tools.

This project includes the Cloud Security Alliance model context protocol servers, covering various functional modules and service interfaces, including multiple useful tools imported from Anthropic and chat services provided by CSA.

The Unichat MCP Server is a chat server that supports multiple AI providers and can interact with various AI models through the MCP protocol.

A server that provides model context protocol services for Dify AI, supporting chat completion functions and a restaurant recommendation tool.