AgentHub MCP Server: Ideal Tool for Multi-AI Coding Agents with Message Bus

Agenthub

AgentHub is a local multi - AI agent coordination server based on the MCP protocol. Through intention declaration and soft - locking mechanisms, it allows multiple AI coding agents (such as Claude, Cursor, etc.) to collaborate in the same code repository without conflicting with each other. It provides message bus, code review, and expert escalation functions.

Developer tools Artificial intelligence chatbots #Agent Coordination #Code Collaboration #Soft - Locking #MCP Service .TypeScript

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update time : 2025-12-29

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What is AgentHub?

AgentHub is an intelligent coordination server based on the Model Context Protocol (MCP), specifically designed to manage the collaboration of multiple AI programming assistants in the same code repository. It acts like a traffic control center, ensuring that different AI agents do not modify the same files simultaneously, thus avoiding code conflicts and data loss.

How to use AgentHub?

Using AgentHub involves three main steps: 1) Install and start the AgentHub server; 2) Configure your AI assistants (such as Claude, Cursor, etc.) to connect to AgentHub; 3) Let the AI assistants coordinate their code editing work through AgentHub. The entire process requires no complex configuration to achieve intelligent collaboration.

Use Cases

AgentHub is most suitable for the following scenarios: when multiple AI assistants are working simultaneously in a team, when large - scale projects require division of labor and collaboration, when a code review process is needed, or when you want AI assistants to communicate and coordinate with each other. It is particularly suitable for software development teams, independent developers, and any users who use multiple AI programming tools.

Main Features

Intent Coordination System

AI assistants declare their intentions before editing files. AgentHub checks for conflicts and coordinates access rights to prevent multiple AIs from modifying the same file simultaneously.

Real - Time Messaging Bus

AI assistants can send and receive messages to achieve cross - tool communication and collaboration.

Code Review Workflow

The built - in code review system allows AIs to request code reviews from other AIs or humans to ensure code quality.

Expert Escalation System

Complex problems can be automatically escalated to more powerful AI models (such as GPT - 5 Pro) for processing.

State Persistence

All coordination states and messages are persistently saved, and data will not be lost after the server restarts.

Terminal Dashboard

An aesthetically pleasing terminal interface for real - time monitoring of all connected AI assistants, active intentions, and system events.

Advantages

Avoid code conflicts: Intelligent coordination ensures that multiple AIs do not edit the same files simultaneously.

Improve collaboration efficiency: AI assistants can divide labor and work independently.

Reduce redundant work: Avoid redundant modifications through intention declarations.

Easy to integrate: Supports all mainstream AI programming tools (Claude, Cursor, VS Code, etc.).

Local operation: Data is completely localized, protecting code privacy and security.

Limitations

Requires additional configuration: Each AI tool needs to be separately configured to connect to AgentHub.

Learning curve: Users need to understand the workflow of intention declaration and coordination.

Network dependency: All AI tools must be able to access the AgentHub server.

Limited to programming scenarios: Specifically designed for code editing collaboration and not suitable for other types of AI collaboration.

How to Use

Install AgentHub

Clone the repository and install dependencies. Make sure Node.js version 22+ is installed on your system.

Configure the Environment

Copy the example configuration file and modify the settings as needed, such as the port and file monitoring path.

Start the Server

Start the AgentHub main server, which will listen on the specified port and wait for AI assistants to connect.

Start the Dashboard

Start the monitoring dashboard in a new terminal to view the system status and activities in real - time.

Configure AI Assistants

Configure the MCP server connection in each AI tool you use, pointing to the address of AgentHub.

Usage Examples

Multi - AI Collaboration for New Feature Development

Two AI assistants collaborate to develop a user authentication feature. One is responsible for the front - end components, and the other is responsible for the back - end API. AgentHub coordinates to avoid conflicts.

Code Review Process

After an AI assistant completes code modifications, it automatically creates a review task, and a dedicated review AI or human checks the code quality.

Consulting Experts for Complex Problems

When an AI encounters a complex architectural problem, it escalates to a more powerful AI model (such as GPT - 5 Pro) through AgentHub to obtain professional advice.