# Executive Summary

RabbitMQ MCP Server is a production-ready Model Context Protocol server that enables AI assistants (Claude, ChatGPT, etc.) to manage RabbitMQ infrastructure through natural language. It transforms complex RabbitMQ Management API operations into an intuitive semantic discovery interface where developers can ask "list slow queues" instead of memorizing API endpoints.

**Key Innovation**: OpenAPI-driven architecture with build-time code generation and pre-computed semantic search enables unlimited operations through just 3 MCP tools (`search-ids`, `get-id`, `call-id`), avoiding tool explosion while maintaining full RabbitMQ Management API coverage.

**Target Users**: DevOps engineers, SREs, and backend developers managing RabbitMQ clusters who want AI-assisted infrastructure management without context-switching between terminals and management consoles.

**Strategic Goal**: Become the reference implementation for OpenAPI-driven MCP servers in the Python ecosystem, demonstrating build-time generation patterns that other API-based MCP servers can adopt.

**Implementation Approach**: Full implementation from scratch, following Test-Driven Development (TDD) with comprehensive user stories, acceptance criteria, and detailed technical specifications integrated into this brief.

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