🔄 Crew Sync Agent

by Hwani-Net

343 downloads

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GitHub

About

Dynamic Team Collaboration MCP Server for Smithery - Flexible crew synchronization with priority-based task management

Details

Author: Hwani-Net
Downloads: 343
Categories: Other, Project Management

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name 🔄 Crew Sync Agent

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

From the repository

Test locally with python test_crew_sync.py. For deployment, create a GitHub repository and deploy to Smithery using smithery deploy https://github.com/username/crew-sync-agent, then configure environment variables in the Smithery dashboard. Use the provided tools (sync_crew, add_crew_member, list_crew, echo) to manage and synchronize team members.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "\ud83d\udd04 crew sync agent": {
            "crew-sync-agent": {
                "command": "python",
                "args": [
                    "test_crew_sync.py"
                ]
            }
        }
    }
}

McpServers

{
    "crew-sync-agent": {
        "command": "python",
        "args": [
            "test_crew_sync.py"
        ]
    }
}

🔄 Crew Sync Agent

Dynamic Team Collaboration MCP Server for Smithery

🌟 Overview

Crew Sync Agent is a flexible, dynamic team collaboration system built for the Model Context Protocol (MCP). Unlike traditional fixed-team approaches, it allows for dynamic team composition and real-time synchronization of crew members for various projects.

✨ Key Features

- 🔄 Dynamic Team Sync: Flexible team composition for project-specific optimization
- 👥 Scalable Teams: Support for up to 10 dynamic team members
- 🎯 Priority-Based: Task prioritization (Low/Medium/High/Urgent)
- 🔐 Secure: Environment variable-based API key management
- ⚡ Real-time: MCP protocol-based instant team synchronization

🏗️ Default Crew (Expandable)

- 🎯 Taylor: Team Coordinator - Strategic planning & project coordination
- ⚡ Jordan: Tech Engineer - Full-stack development & DevOps
- 💡 Riley: Product Strategist - UX research & feature planning
- 📊 Casey: Data Specialist - ML, analytics & visualization
- 🏗️ Morgan: System Architect - System design & scalability
- 🎨 Avery: Design Lead - Interface design & prototyping

> Note: Team composition is completely dynamic and can be adjusted based on project requirements.

🛠️ Available Tools

`sync_crew` - Synchronize Team Members

{
  "task": "Task description",
  "crew_members": ["Taylor", "Jordan", "Riley"], // optional
  "priority": "high" // low/medium/high/urgent
}

`add_crew_member` - Add New Team Member

{
  "name": "New member name",
  "role": "Role and expertise description"
}

`list_crew` - List Current Team

{} // no parameters needed

`echo` - Connection Test

{
  "text": "Test message"
}

🚀 Quick Start

Local Testing

python test_crew_sync.py

Smithery Deployment

1. Create GitHub repository
2. Deploy to Smithery: smithery deploy https://github.com/username/crew-sync-agent
3. Configure environment variables in Smithery dashboard

📋 Example Usage

Web Development Project

{
  "task": "React + Node.js e-commerce platform development",
  "crew_members": ["Jordan", "Riley", "Avery"],
  "priority": "high"
}

Data Analysis Project

{
  "task": "User behavior pattern analysis and prediction model",
  "crew_members": ["Casey", "Morgan"],
  "priority": "medium"
}

🔧 Configuration

Environment Variables

- MAX_CREW_SIZE: Maximum team size (default: 10)
- OPENAI_API_KEY: OpenAI API key (optional)
- ANTHROPIC_API_KEY: Anthropic API key (optional)
- AI_SERVICE: Preferred AI service
- MODEL_NAME: Default model name

🛡️ Security

- ✅ API keys via environment variables only
- ✅ No hardcoded secrets in code
- ✅ Docker non-root user execution
- ✅ Sensitive files excluded via .dockerignore
- ✅ MCP protocol standard compliance

📞 Support

- Issues: GitHub Issues for bug reports and feature requests
- Documentation: See README_SMITHERY.md for detailed deployment guide
- Community: MCP developer community

---

Crew Sync Agent: Flexible and scalable AI team collaboration solution 🚀

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

🔄 Crew Sync Agent

🌟 Overview

✨ Key Features

🏗️ Default Crew (Expandable)

🛠️ Available Tools

sync_crew - Synchronize Team Members

add_crew_member - Add New Team Member

list_crew - List Current Team

echo - Connection Test

🚀 Quick Start

Local Testing

Smithery Deployment

📋 Example Usage

Web Development Project

Data Analysis Project

🔧 Configuration

Environment Variables

🛡️ Security

📞 Support

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`sync_crew` - Synchronize Team Members

`add_crew_member` - Add New Team Member

`list_crew` - List Current Team

`echo` - Connection Test