iflow-mcp_adam-paterson-mcp-crew-ai

<div align="center"> <img src="https://github.com/crewAIInc/crewAI/blob/main/docs/crewai_logo.png" alt="CrewAI Logo" /> </div> # MCP Crew AI Server MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows. This project leverages the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) to communicate with Large Language Models (LLMs) and tools such as Claude Desktop or Cursor IDE, allowing you to orchestrate multi-agent workflows with ease. ## Features - **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. ## Installation There are several ways to install the MCP Crew AI server: ### Option 1: Install from PyPI (Recommended) ```bash pip install mcp-crew-ai ``` ### Option 2: Install from GitHub ```bash pip install git+https://github.com/adam-paterson/mcp-crew-ai.git ``` ### Option 3: Clone and Install ```bash git clone https://github.com/adam-paterson/mcp-crew-ai.git cd mcp-crew-ai pip install -e . ``` ### Requirements - Python 3.11+ - MCP SDK - CrewAI - PyYAML ## Configuration - **agents.yml:** Define your agents with roles, goals, and backstories. - **tasks.yml:** Define tasks with descriptions, expected outputs, and assign them to agents. **Example `agents.yml`:** ```yaml zookeeper: role: Zookeeper goal: Manage zoo operations backstory: > You are a seasoned zookeeper with a passion for wildlife conservation... ``` **Example `tasks.yml`:** ```yaml write_stories: description: > Wri…