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Manage RabbitMQ brokers, authentication, and mutative admin operations through APIs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RabbitMQ MCP Server" yet — see the docs or source repo.
Connect to the specified RabbitMQ broker, list queues and exchanges across all virtual hosts, and sort the output by message backlog.
A list of queues and exchanges by virtual host, including message counts, consumer counts, and backlog status.
On the target RabbitMQ broker, bulk-create a virtual host, users, permissions, exchanges, queues, and bindings for a new project, then provide an execution summary.
The required RabbitMQ resources are created, with a step-by-step summary of successes and any failure reasons.
Review OAuth authentication settings, user permissions, and high-risk admin configurations across multiple RabbitMQ brokers, then produce an audit report with potential risks.
An audit report summarizing authentication methods, permission anomalies, and security risks that need remediation.
Manage RabbitMQ clusters, queues, exchanges, users, and messages with natural language.
Enable topic-based inter-agent messaging, question routing, and collaborative responses via RabbitMQ.
Enable an AI agent to connect to and manage ActiveMQ Artemis brokers.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Enable AI agents to communicate, route messages, and collaborate through MCP.
Securely connect AI agents to MongoDB via MCP with flexible auth deployment.