Celery MCP is a Python library designed to bridge Celery distributed task queues with the Model Context Protocol (MCP). It provides a robust connector, allowing developers to seamlessly integrate Celery's powerful asynchronous task execution capabilities into MCP-enabled systems. A key aspect is its included MCP server, which exposes Celery functionality as a set of tools, making it possible for Large Language Models (LLMs) to interact with, manage, and monitor distributed tasks, workers, and queues programmatically, enhancing automation and intelligent control over background processes.
Key Features
01Seamless Celery-MCP integration
02Intuitive API for task management
03Asynchronous task execution support
04MCP server with LLM interaction tools
05Comprehensive documentation and examples
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