Celery
0
Connects Celery distributed task queues with the Model Context Protocol, enabling advanced task management and AI integration.
소개
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.
주요 기능
- Seamless Celery-MCP integration
- Intuitive API for task management
- Asynchronous task execution support
- MCP server with LLM interaction tools
- Comprehensive documentation and examples
- 0 GitHub stars
사용 사례
- Empowering Large Language Models to manage and execute background tasks
- Integrating distributed task queues into MCP-enabled AI applications
- Automating Celery task monitoring and control via an MCP interface