RabbitMQ
Enables LLM models to perform common RabbitMQ operations via a standardized Model Control Protocol (MCP) interface.
About
The RabbitMQ tool serves as an MCP server, bridging the gap between Large Language Models (LLMs) and RabbitMQ. It provides a standardized interface, allowing LLMs to interact with RabbitMQ for essential message queuing tasks. This integration facilitates actions such as publishing messages to specific queues or exchanges, simplifying the process for AI models to participate in messaging workflows.
Key Features
- Go implementation of Model Control Protocol (MCP) server
- Allows LLM models to publish messages to RabbitMQ queues
- Enables LLM models to publish messages to RabbitMQ exchanges
- Supports text/plain and application/json content types for messages
- Allows inclusion of custom message headers
- 1 GitHub stars
Use Cases
- Integrating LLM models with RabbitMQ for automated message publishing
- Enabling AI assistants to send system notifications or status updates via RabbitMQ
- Facilitating event-driven architectures where LLMs trigger message flows in RabbitMQ
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