RabbitMQ
This RabbitMQ MCP server, developed by Ken Liao, enables AI assistants to interact with RabbitMQ message queues through the Model Context Protocol. Built in Python, it provides a bridge between MCP clients and RabbitMQ instances, allowing operations like publishing and consuming messages. The implementation leverages libraries such as Pika for RabbitMQ communication and supports TLS for secure connections. By abstracting queue operations into MCP-compatible endpoints, it allows AI systems to easily integrate messaging capabilities without directly handling RabbitMQ complexities. This server is particularly useful for scenarios requiring AI-driven message processing, event-driven architectures, or automated workflow management in distributed systems.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- other
- Source
- PulseMCP
- Repository
- github.com/kenliao94/mcp-server-rabbitmq
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve RabbitMQ from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.