CrewAI
Framework for orchestrating autonomous AI agents that work together on complex tasks.
MCPCLI
About CrewAI
Framework for orchestrating autonomous AI agents that work together on complex tasks. Explore how CrewAI integrates with the agentic data stack ecosystem and supports autonomous data operations.
Key Features
- Multi-agent orchestration framework: role-based agent design with roles, goals, and backstories
- Autonomous task delegation and inter-agent collaboration without human mediation
- Flexible execution models: sequential, parallel, and conditional task processing
- Sophisticated memory management: shared short-term, long-term, entity, and contextual memory
- 100+ built-in tools for web search, website interaction, vector database queries
- Flows for precise workflow control alongside autonomous Crews for collaborative intelligence
- Enterprise features: tracing, observability, real-time monitoring, and unified control plane
- Fully independent framework (no LangChain dependency) with faster execution
Agent Integration
MCP Server
crewAIInc/enterprise-mcp-serverExternal Links
CrewAI Enterprise MCP Server
Official MCP server for kicking off and monitoring deployed crew workflows
MCP Integration Docs
Official guide for using MCP servers as tools within CrewAI agents
CrewAI Tools Repository
Pre-built tool collection for CrewAI agents, supports MCP tool loading via ToolCollection
CrewAI PyPI Package
Python package with installation instructions and version history
Community MCP-CrewAI Server
Community MCP server for running and managing CrewAI workflows from Claude Desktop or Cursor