Native adapter support for CrewAI with Model Context Protocol (MCP) integration
Project description
CrewAI MCP Adapter
A Python library extending CrewAI's adapter ecosystem with Model Context Protocol (MCP) integration support and comprehensive tooling for custom agent and tool development.
Features
- 🔌 Native CrewAI integration and adapter patterns
- 🛠️ MCP protocol support for tool integration
- 🧩 Easy-to-use interface for extending and creating new adapters
- 📝 Type-safe implementation with Pydantic
- 🔍 JSON Schema validation for tool parameters
- 🚀 Async/await support
- 📊 Detailed execution metadata
Installation
You can install the package directly from PyPI:
pip install crewai-adapters
Or install from source:
pip install git+https://github.com/dshivendra/crewai_mcp_adapter.git
Quick Start
from crewai import Agent, Task
from crewai_adapters import CrewAIAdapterClient
from crewai_adapters.types import AdapterConfig
async def main():
async with CrewAIAdapterClient() as client:
# Connect to MCP server
await client.connect_to_mcp_server(
"math",
command="python",
args=["math_server.py"]
)
# Create agent with tools
agent = Agent(
name="Calculator",
goal="Perform calculations",
tools=client.get_tools()
)
# Execute task
task = Task(
description="Calculate (3 + 5) × 12",
agent=agent
)
result = await task.execute()
print(f"Result: {result}")
if __name__ == "__main__":
import asyncio
asyncio.run(main())
Documentation
For detailed documentation, see:
Development
Prerequisites
- Python 3.11 or higher
crewaipackagepydanticpackagemcppackage
Install Development Dependencies
pip install -e ".[test,docs]"
Running Tests
pytest tests/ -v
Publishing
To publish a new version to PyPI:
- Update version in pyproject.toml
- Build the package:
python -m build
- Upload to PyPI:
python -m twine upload dist/*
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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