- Explore MCP Servers
- rabbitmq
RabbitMQ
What is RabbitMQ
RabbitMQ MCP Server is an implementation of a Model Context Protocol (MCP) server designed to facilitate interactions with RabbitMQ message brokers. It abstracts the administrative and messaging features of RabbitMQ through a unified interface, allowing users to manage and operate various aspects of message brokers effectively.
Use cases
This server can be used to manage RabbitMQ message brokers, perform tasks such as monitoring, queue management, and message operations via an AI agent. It is beneficial for developers looking to integrate RabbitMQ with AI-driven applications, enabling automated message handling and broker management.
How to use
To use the RabbitMQ MCP Server, you can install it via Smithery or from PyPI. Configuration requires specifying the RabbitMQ host, port, username, password, and TLS settings in the MCP client config. You can also run the server locally from the source by cloning the repository and setting up the environment.
Key features
Key features of the RabbitMQ MCP Server include AI-assisted management of RabbitMQ brokers, support for streamable HTTP connections with customizable authorization, seamless integration with MCP clients, and the ability to switch RabbitMQ broker connections during operation.
Where to use
This server can be used in any environment where RabbitMQ is deployed, such as web applications, microservices architectures, and any messaging system that requires robust management and AI integration. It’s applicable in development, testing, and production settings.
Overview
What is RabbitMQ
RabbitMQ MCP Server is an implementation of a Model Context Protocol (MCP) server designed to facilitate interactions with RabbitMQ message brokers. It abstracts the administrative and messaging features of RabbitMQ through a unified interface, allowing users to manage and operate various aspects of message brokers effectively.
Use cases
This server can be used to manage RabbitMQ message brokers, perform tasks such as monitoring, queue management, and message operations via an AI agent. It is beneficial for developers looking to integrate RabbitMQ with AI-driven applications, enabling automated message handling and broker management.
How to use
To use the RabbitMQ MCP Server, you can install it via Smithery or from PyPI. Configuration requires specifying the RabbitMQ host, port, username, password, and TLS settings in the MCP client config. You can also run the server locally from the source by cloning the repository and setting up the environment.
Key features
Key features of the RabbitMQ MCP Server include AI-assisted management of RabbitMQ brokers, support for streamable HTTP connections with customizable authorization, seamless integration with MCP clients, and the ability to switch RabbitMQ broker connections during operation.
Where to use
This server can be used in any environment where RabbitMQ is deployed, such as web applications, microservices architectures, and any messaging system that requires robust management and AI integration. It’s applicable in development, testing, and production settings.
Content
RabbitMQ MCP Server
A Model Context Protocol server implementation for RabbitMQ operation.
Features
Manage your RabbitMQ message brokers using AI agent
This MCP servers wraps admin APIs of a RabbitMQ broker as MCP tools. It also uses Pika to interact with RabbitMQ to operate at the message level. You can also specify a different RabbitMQ broker that you want to connect to mid-conversation (default is configured during server initialization).
Supports streamable HTTP with FastMCP’s BearerAuthProvider
You can start a remote RabbitMQ MCP server by configuring your own IdP and 3rd party authorization provider.
Seamless integration with MCP clients
The package is available on PyPI, you can use uvx without having to fork and build the MCP server locally first.
Installation
Smithery
To install RabbitMQ MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kenliao94/mcp-server-rabbitmq --client claude
Try it online
https://smithery.ai/server/@kenliao94/mcp-server-rabbitmq
PyPI
https://pypi.org/project/mcp-server-rabbitmq/
Use uvx directly in your MCP client config
{
"mcpServers": {
"rabbitmq": {
"command": "uvx",
"args": [
"mcp-server-rabbitmq@latest",
"--rabbitmq-host",
"<hostname ex. test.rabbit.com, localhost>",
"--port",
"<port number ex. 5672>",
"--username",
"<rabbitmq username>",
"--password",
"<rabbitmq password>",
"--use-tls",
"<true if uses amqps, false otherwise>"
]
}
}
}
From source
- Clone this repository.
{
"mcpServers": {
"rabbitmq": {
"command": "uv",
"args": [
"--directory",
"/path/to/repo/mcp-server-rabbitmq",
"run",
"mcp-server-rabbitmq",
"--rabbitmq-host",
"<hostname ex. test.rabbit.com, localhost>",
"--port",
"<port number ex. 5672>",
"--username",
"<rabbitmq username>",
"--password",
"<rabbitmq password>",
"--use-tls",
"<true if uses amqps, false otherwise>"
]
}
}
}
Roadmap
- Full feature parity with
rabbitmqadmin
- Support RabbitMQ OAuth instead of basic authentication
Development
Setup Development Environment
# Clone the repository
git clone https://github.com/kenliao94/mcp-server-rabbitmq.git
cd mcp-server-rabbitmq
# Install pre-commit hooks
pre-commit install
Running Tests
pytest
Code Quality
This project uses ruff for linting and formatting:
# Run linter
ruff check .
# Run formatter
ruff format .
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.