Crew AI MCP Server
An MCP server that provides AI agent and task management capabilities using the CrewAI framework.
Setup
- Clone or fork this repository
- 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:
- Ensure your OpenAI API key is set correctly
- Check that all dependencies are installed (
pip install -r requirements.txt
) - Verify the MCP settings file exists and has the correct configuration
- Make sure the server path in the MCP settings matches your actual file location
Contributing
- Fork the repository
- Create your feature branch
- Make your changes
- Run the setup script to verify everything works
- Submit a pull request
Crew AI MCP Server
Project Details
- MatthewLaw1/Near-Intents-MCP-Agentkit
- cdp-agentkit-monorepo
- Other
- Last Updated: 2/9/2025
Recomended MCP Servers
MCP Server to wrap the FDIC Bank Find API
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
Model Context Protocol server for Salesforce REST API integration
Model Context Protocol Server for Apache OpenDAL™
MCP server for document format conversion using pandoc.
Model Context Protocol Servers
ramp_mcp
Easily run glif.app AI workflows inside your LLM: image generators, memes, selfies, and more. Glif supports all major...
Shell and coding agent on claude desktop app
An MCP generator for OpenAPIs