RagRabbit is a self - hosted AI site search and LLM.txt generation tool that supports one - click deployment on Vercel.

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.

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.

An MCP server implementation integrating the Glean API, providing search and chat functions.

This project builds an HR chatbot based on RAG. The MCP server serves as the functional call center to implement PDF document upload, parsing, retrieval, and natural language question answering functions.

This project builds a RAG-based HR chatbot. Through the MCP server as the function call center, it realizes the functions of PDF document uploading, parsing, retrieval, and natural language Q&A.

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.

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.

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

This project showcases an MCP service architecture based on Node.js, including backend API services, an MCP server, and a client-side AI chatbot. The MCP server standardizes the API access method, and the client implements the custom data storage function by integrating MCP capabilities.

A Q&A chatbot project about the EU AI Act, using a hybrid retrieval method (vector search + knowledge graph), providing local running and AWS Lambda deployment options.

A SharePoint integration project based on.NET, Graph API, and Semantic Kernel, which uses a modular architecture to enable an AI chatbot to securely access enterprise SharePoint data.

This project is a simplified implementation based on the MemGPT research paper, built using Spring Boot and Spring AI, providing two integration methods: REST services and MCP servers, and including core agent functions and chatbot applications.

A Mastra document chatbot based on Next.js, integrating the Mastra proxy and MCP document services to provide real - time interactive document query functions.

An intelligent chatbot based on Streamlit that uses GPT-4o to automatically route user requests to different tools (such as chatting, image generation, database queries, voice synthesis, etc.), supporting rapid experimentation with AI tool routing functions.

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.

An MCP server that provides OpenStreetMap-related tools for LLM chatbots

This is an MCP server project for summarizing chat records. It needs to be used in conjunction with the chatbot module, which can store chat records in the database and provide query and summary functions.

The implementation of the Rhombus MCP Server provides tool support for chatbots by integrating the Rhombus API.

MCPilot is an AI chatbot that integrates real-time tools (such as DuckDuckGo, Airbnb, and weather APIs), providing context-aware real-time queries and task assistance through the Gradio front-end and GROQ backend.

A multi-functional AI agent project that includes an Arabic legal chatbot, a Google search tool, and a handwritten digit generation model.

An MCP server based on TinyDB that provides localized long-term memory storage for chatbots, supporting the storage, search, and validation of JSON records

This project is a Python chatbot server based on IBM Watsonx.ai and the MCP protocol. It provides medical consultation functions, supports building a Web interface through Flask, and realizes symptom diagnosis and personalized greetings.

A simple chatbot template project based on Streamlit and OpenAI GPT-3.5

The WildFly MCP project aims to provide WildFly users with tools to monitor and manage servers using generative AI capabilities, including components such as MCP servers, chatbots, container images, and protocol gateways.

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.

An MCP server implementation integrating the Glean API, providing search and chat functions

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.

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.