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Ai Collaboration Mcp Server

@will380on 10 months ago
2 MIT
FreeCommunity
AI Systems
AI Collaboration MCP Server - Coordinate between Claude Code, Cursor, and Windsurf as a collaborative development team

Overview

What is Ai Collaboration Mcp Server

The ai-collaboration-mcp-server is a Model Context Protocol (MCP) server designed to facilitate collaboration between various AI tools, creating a virtual development team where each AI agent contributes its unique strengths to a project.

Use cases

Use cases include coordinating tasks between different AI agents in a development team, managing roles in a project where various AI tools are utilized, and ensuring smooth communication and collaboration among AI tools to enhance productivity.

How to use

To use the ai-collaboration-mcp-server, you can quickly set it up using NPX. Install it globally or run it directly with NPX, configure it to your needs, purchase a license, and start the server to begin collaboration.

Key features

Key features include a task management system for tracking tasks, role-based collaboration for assigning specialized roles to AI agents, conflict resolution to prevent overlaps, direct message exchange for better coordination, enterprise-grade license management, and secure data storage.

Where to use

The ai-collaboration-mcp-server can be used in software development, AI research, and any collaborative projects that require multiple AI tools to work together efficiently.

Content

AI Collaboration MCP Server

Coordinate between Claude Code, Cursor, Windsurf, and other AI tools as a collaborative development team

FeaturesGetting StartedAI Tool SetupPricingDocumentationSupport


https://github.com/user-attachments/assets/8f9192c0-0006-4094-96fb-948cc3ee24c5

🚀 Supercharge Your AI Development Team

The AI Collaboration MCP Server is a powerful Model Context Protocol (MCP) server designed to enable seamless collaboration between different AI tools. It creates a virtual development team where each AI agent can contribute its unique strengths to your project.

⚙️ Features

  • Task Management System: Create, assign, and track tasks between AI tools
  • Role-Based Collaboration: Assign specialized roles (frontend, backend, etc.) to different AI agents
  • Conflict Resolution: Sophisticated system to prevent AI tools from stepping on each other’s toes
  • Message Exchange: Enable direct communication between AI agents for better coordination
  • License Management: Enterprise-grade licensing system with Stripe integration
  • Secure Storage: All data is securely stored with proper authentication

🔍 Getting Started

Quick Start with NPX

The fastest way to get started is with our NPX command:

# Install globally
npm install -g ai-collaboration-mcp-server

# Or use directly with npx
npx ai-collaboration-mcp-server

# Setup with your configuration
npx ai-collaboration-mcp-server setup

# Buy a license
npx ai-collaboration-mcp-server buy

# Start the server
npx ai-collaboration-mcp-server start

Available Commands

# Setup your server configuration
npx ai-collaboration-mcp-server setup

# Purchase a license
npx ai-collaboration-mcp-server buy

# Check your license status
npx ai-collaboration-mcp-server status

# Start the MCP server
npx ai-collaboration-mcp-server start

# Install dependencies
npx ai-collaboration-mcp-server install

🛠 AI Tool Setup

Setting Up Claude Code

Claude Code comes with built-in MCP support that makes integration straightforward:

Buy your license at : [https://acmcpserver.netlify.app/#pricing]

  1. Open a terminal and run the Claude Code CLI tool:
    claude mcp add npx -y ai-collaboration-mcp-server start
    

Setting Up Cursor

Cursor can be configured through its config system:

  1. Create or edit your .mcp.json file in your project root:

    touch .mcp.json
    
  2. Add the following configuration:

    {
      "ai-collaboration-server": {
        "command": "npx",
        "args": [
          "-y",
          "ai-collaboration-mcp-server start"
        ]
      }
    }
  3. Access MCP tools through Cursor’s command palette (Ctrl+Shift+P or Cmd+Shift+P):

    MCP: List Available Tools
    MCP: Invoke Tool
    MCP: Get Tasks
    

Setting Up Windsurf:

  1. Create or edit your .mcp.json file in your project root:

    touch .mcp.json
    
  2. Add the following configuration:

    {
      "ai-collaboration-server": {
        "command": "npx",
        "args": [
          "-y",
          "ai-collaboration-mcp-server start"
        ]
      }
    }
  3. Access MCP functionality:

    /mcp list-tools
    /mcp get-tasks
    /mcp create-task
    

For more detailed setup instructions and troubleshooting, see our AI Tool Integration Guide.

💰 Pricing

We offer flexible pricing options to suit teams of all sizes:

Plan Price Features
Monthly Subscription $9.99/month - Full MCP server access
- API access
- Up to 10 projects
- Email support
Annual Subscription $99.99/year
(Save 17%)
- Full MCP server access
- API access
- Unlimited projects
- Priority email support
Lifetime License $299.99
(One-time payment)
- Full MCP server access
- API access
- Unlimited projects
- Priority support
- All future updates

📖 Documentation

Comprehensive documentation is available for all aspects of the MCP server:

👨‍💻 Support

We’re here to help you get the most out of your AI collaboration:

📄 License

This package is provided to customers upon purchase of a license. All usage is subject to our Terms of Service.


© 2025 AI Collaboration MCP Server. All rights reserved.

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