Database · MODEL CONTEXT PROTOCOL
adam paterson mcp crew ai
MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.
WHAT IT CONNECTS
adam paterson mcp crew ai 为 AI Agent 提供什么
- **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
SECURITY
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。