Near Intents MCP Agentkit

🚀 Using the AI Crew (MCP) Server

An MCP server that uses the CrewAI framework to provide AI agent and task management capabilities.

🚀 Quick Start

The MCP server offers AI agent and task management features powered by the CrewAI framework. Below are the installation, configuration, and usage steps.

✨ Features

• Provide AI agent and task management functions.
• Automatically install dependencies and configure settings through scripts.
• Support creating agents, tasks, and crew teams.

📦 Installation

1. Clone or fork this repository.
2. Run the installation script:

./crew.sh

The installation script will:

• Install the required Python dependencies.
• Configure the MCP settings file suitable for your system.
• Automatically configure the correct paths.

📚 Documentation

Configuration

Before using the server, set your OpenAI API key:

export OPENAI_API_KEY="your-api-key"

Usage

The server provides three main tools:

💻 Usage Examples

Basic Usage

{
    "method": "call_tool",
    "params": {
        "name": "create_agent",
        "arguments": {
            "role": "researcher",
            "goal": "Research and analyze information effectively",
            "backstory": "An experienced research analyst"
        }
    }
}

{
    "method": "call_tool",
    "params": {
        "name": "create_task",
        "arguments": {
            "description": "Analyze recent market trends",
            "agent": "researcher",
            "expected_output": "A detailed analysis report"
        }
    }
}

{
    "method": "call_tool",
    "params": {
        "name": "create_crew",
        "arguments": {
            "agents": ["researcher"],
            "tasks": ["Analyze recent market trends"],
            "verbose": true
        }
    }
}

Advanced Usage

Create and run a complete workflow:

(echo '{"method": "call_tool", "params": {"name": "create_agent", "arguments": {"role": "researcher", "goal": "Research and analyze information effectively", "backstory": "An experienced research analyst"}}}'; echo '{"method": "call_tool", "params": {"name": "create_task", "arguments": {"description": "Analyze recent market trends", "agent": "researcher", "expected_output": "A detailed analysis report"}}}'; echo '{"method": "call_tool", "params": {"name": "create_crew", "arguments": {"agents": ["researcher"], "tasks": ["Analyze recent market trends"], "verbose": true}}}') | python3 src/crew_server.py

System Requirements

• Python 3.8 or higher.
• The jq command-line tool (for the installation script).
• VSCode with the Roo Cline extension installed.

Supported Platforms

• macOS
• Linux
• Windows (via Git Bash)

Troubleshooting

If you encounter any issues:

1. Ensure your OpenAI API key is set correctly.
2. Check if all dependencies are installed (pip install -r requirements.txt).
3. Verify that the MCP settings file exists and is configured correctly.
4. Ensure that the server path in the MCP settings matches the actual file location.

Contribution Guidelines

1. Fork the repository.
2. Create a feature branch.
3. Make modifications.
4. Run the installation script to verify that everything works properly.
5. Submit a pull request.