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Crew AI

Createdadam-paterson

Orchestrates multi-agent workflows by automatically loading configurations and executing them via the Model Context Protocol.

Github Repo

About

Crew AI Server is a Python-based server designed to streamline the creation, management, and execution of CrewAI workflows. Leveraging the Model Context Protocol (MCP), it seamlessly integrates with Large Language Models (LLMs) and tools, such as Claude Desktop or Cursor IDE, simplifying the orchestration of multi-agent tasks. It enables users to define agents and tasks using YAML files, execute pre-configured workflows, and run the server locally for development and testing, enhancing productivity in AI-driven projects.

Key Features

  • 1 GitHub stars
  • Automatically loads agent and task configurations from YAML files.
  • Supports custom configuration file paths via command-line arguments.
  • Executes pre-configured workflows through the MCP `run_workflow` tool.
  • Runs locally in STDIO mode for development and testing.
  • Accepts additional variables to be used in YAML templates.

Use Cases

  • Orchestrating AI-driven workflows with multiple agents.
  • Developing and testing CrewAI setups locally.
  • Automating tasks using configuration files.