mcp-crew-ai
If you are the rightful owner of mcp-crew-ai and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
MCP Crew AI Server is a lightweight Python-based server designed to run, manage, and create CrewAI workflows using the Model Context Protocol (MCP) to communicate with Large Language Models (LLMs) and tools.
MCP Crew AI Server is a versatile server application that facilitates the orchestration of multi-agent workflows by leveraging the Model Context Protocol (MCP). It is designed to work seamlessly with Large Language Models (LLMs) and various developer tools such as Claude Desktop and Cursor IDE. The server is built in Python and offers a straightforward setup process, allowing users to define agents and tasks through YAML configuration files. This eliminates the need for custom coding for basic setups, making it accessible for users with varying levels of technical expertise. The server supports local development in STDIO mode, which is ideal for testing and development purposes. Additionally, it provides command-line flexibility, enabling users to specify custom paths for configuration files and execute workflows effortlessly. The server is compatible with Python 3.11+ and requires the MCP SDK, CrewAI, and PyYAML for operation.
Features
- Automatic Configuration: Automatically loads agent and task configurations from YAML files.
- Command Line Flexibility: Allows custom paths for configuration files via command line arguments.
- Seamless Workflow Execution: Easily run pre-configured workflows through the MCP `run_workflow` tool.
- Local Development: Supports running the server locally in STDIO mode for development and testing.
