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CrewAI (Near Intents)

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Leverages the CrewAI framework in combination with OpenAI API to orchestrate multi-agent workflows for automated research, data analysis, and problem-solving ac

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Описание

Leverages the CrewAI framework in combination with OpenAI API to orchestrate multi-agent workflows for automated research, data analysis, and problem-solving across domains.

README

An MCP server that provides AI agent and task management capabilities using the CrewAI framework.

Setup

  1. Clone or fork this repository
  2. Run the setup script:
./crew.sh

The setup script will:

  • Install required Python dependencies
  • Configure the MCP settings file for your system
  • Set up the correct paths automatically

Configuration

Before using the server, set your OpenAI API key:

export OPENAI_API_KEY="your-api-key"

Usage

The server provides three main tools:

1. Create an Agent

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

2. Create a Task

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

3. Create and Run a Crew

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

Example 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
  • jq command-line tool (for setup script)
  • VSCode with 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 that all dependencies are installed (pip install -r requirements.txt)
  3. Verify the MCP settings file exists and has the correct configuration
  4. Make sure the server path in the MCP settings matches your actual file location

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Make your changes
  4. Run the setup script to verify everything works
  5. Submit a pull request

from github.com/matthewlaw1/near-intents-mcp-agentkit

Установка CrewAI (Near Intents)

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/matthewlaw1/near-intents-mcp-agentkit

FAQ

CrewAI (Near Intents) MCP бесплатный?

Да, CrewAI (Near Intents) MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для CrewAI (Near Intents)?

Нет, CrewAI (Near Intents) работает без API-ключей и переменных окружения.

CrewAI (Near Intents) — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить CrewAI (Near Intents) в Claude Desktop, Claude Code или Cursor?

Открой CrewAI (Near Intents) на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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