Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

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.

This project includes multiple MCP server and client implementations based on Python 3.11, involving simple applications of the Langgraph framework, multi-server collaboration, and the development of a ChatGPT clone project.

Rube is an MCP server based on the Composio platform that connects AI chat tools to over 500 business and productivity applications, enabling automated task execution through natural language commands.

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.

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.

Implement intelligent applications in sales scenarios through the MCP server, suitable for various AI chat environments

Chatterbox MCP Server is a personal - use server based on the Model Context Protocol (MCP), used to connect applications and AI models, supporting WhatsApp integration and dynamic resource management.

PrivateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP) for integrating PrivateGPT as a proxy into MCP - compatible applications. It supports interacting with the PrivateGPT API through the MCP protocol, including functions such as chatting, knowledge source management, and group permission control, and provides powerful security features such as TLS encryption, RSA password encryption, and key management.

A guide to the MCP server coding demo, providing a complete process from cloning the repository to configuring the API and building tests, helping developers quickly set up MCP services and integrate them with chat applications.

The DeepSeek MCP Server is an intermediate service used to connect the DeepSeek API with MCP-compatible applications (such as Claude Desktop), supporting various model parameter configurations and chat functions.

This project is a Python - based custom MCP (Model Context Protocol) server demonstration, showing how to implement structured communication between clients and servers through a custom protocol. It is suitable for building flexible network applications such as chat rooms or multiplayer games.

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.

The MCP Servers Hub is a centralized directory of open - source and proprietary MCP servers, providing rich features, documentation links, and contributor information. It supports seamless integration between LLM applications and external data sources and tools, suitable for building AI - driven IDEs, enhancing chat interfaces, or creating custom AI workflows.

Anyquery is an SQLite - based SQL query engine that supports SQL queries on files, databases, and various applications (such as Apple Notes, Notion, etc.), and extends functionality through plugins. It also supports connecting LLMs (such as ChatGPT) as a data access interface and can run as a MySQL server.