adam paterson mcp crew ai

WHAT IT CONNECTS

What adam paterson mcp crew ai gives an AI Agent

• **Automatic Configuration:** Automatically loads agent and task configurations from two YAML files (`agents.yml` and `tasks.yml`), so you don't need to write custom code for basic setups.
• **Command Line Flexibility:** Pass custom paths to your configuration files via command line arguments (`--agents` and `--tasks`).
• **Seamless Workflow Execution:** Easily run pre-configured workflows through the MCP `run_workflow` tool.
• **Local Development:** Run the server locally in STDIO mode, making it ideal for development and testing.
• Python 3.11+
• MCP SDK
• CrewAI
• PyYAML
• **agents.yml:** Define your agents with roles, goals, and backstories.
• **tasks.yml:** Define tasks with descriptions, expected outputs, and assign them to agents.
• `--agents`: Path to the agents YAML file (required)
• `--tasks`: Path to the tasks YAML file (required)
• `--topic`: The main topic for the crew to work on (default: "Artificial Intelligence")
• `--process`: Process type to use (choices: "sequential" or "hierarchical", default: "sequential")
• `--verbose`: Enable verbose output
• `--variables`: JSON string or path to JSON file with additional variables to replace in YAML files
• `--version`: Show version information and exit