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.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

Data Agents is a GenAI - based data engineering agent platform that automates data workflows through multi - agent collaboration, supports multiple AI backends and n8n integration, and provides a modern UI interface and Docker deployment solution.

Relay is a simple tool for transferring information such as files, code, and data between Claude Desktop and Claude Code, maintaining their independent contexts and enabling collaboration through a user - controlled retrieval mechanism.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

MyBatis Mapper XML SQL extraction service based on the MCP protocol, providing SQL parsing, parameter simulation, and database testing functions. It is an expert tool that supports AI collaboration.

This is a Metricool API server based on the Multi - Agent Collaboration Protocol (MCP), which allows AI agents to access and analyze social media metrics, advertising campaign data, and support post scheduling in Metricool accounts.

The OWL x WhatsApp MCP Server project is an application that integrates WhatsApp messaging functionality with a multi - agent collaboration framework. It enables AI agents to access, search, and send messages to WhatsApp data through the Streamlit interface and supports real - time web searches.

A multi - agent AI infrastructure based on the Model Context Protocol (MCP), providing a standardized communication layer, supporting vector databases, tool integration, and multi - agent collaboration, including core components such as an inspector dashboard, Qdrant vector database, and Docker network.

ResearchTwin is an open - source federated platform that transforms researchers' papers, datasets, and code repositories into conversational digital twins. Based on a bimodal glial - neural optimization architecture, it supports collaboration between humans and AI agents to accelerate scientific discovery.

The Cross-System Agent Communication MCP server is used to manage the collaboration, task allocation, and knowledge sharing of multi-role AI agents, integrating GitHub and database functions.

Omni_Engineer is an integrated software development efficiency system that achieves multi - functional collaboration through the FastAPI microservice architecture and the illegal - Agents platform, covering core functions such as code development, database management, version control, and team collaboration.

AIFP is a programming paradigm designed for AI code generation and codebase maintenance. It combines pure functional programming, procedural execution, and database-driven management, and implements a deterministic workflow for AI-human collaboration through an instruction system.

A Go-based implementation of the MCP protocol for managing emotional atmospheres and virtual/physical spaces, supporting real-time data streams and multi-user collaboration.