RabbitMQ MCP Server

Created By
MCP-Mirrora year ago
Mirror of
Overview

What is RabbitMQ MCP Server?

RabbitMQ MCP Server is an implementation of the Model Context Protocol (MCP) that allows clients to interact with queues and topics hosted in a RabbitMQ instance.

How to use RabbitMQ MCP Server?

To use the RabbitMQ MCP Server, you can install it via Smithery or manually by cloning the repository and configuring it in the Claude desktop app.

Key features of RabbitMQ MCP Server?

  • Enables interaction with RabbitMQ queues and topics.
  • Supports both automatic and manual installation methods.
  • Provides debugging tools for troubleshooting.

Use cases of RabbitMQ MCP Server?

  1. Integrating RabbitMQ with applications using the Model Context Protocol.
  2. Facilitating message queuing and topic management in distributed systems.
  3. Enhancing communication between different services in a microservices architecture.

FAQ from RabbitMQ MCP Server?

  • What is the Model Context Protocol?

The Model Context Protocol is a protocol designed to facilitate communication between clients and servers in a structured manner.

  • Is RabbitMQ MCP Server free to use?

Yes! RabbitMQ MCP Server is open-source and free to use under the Apache-2.0 license.

  • What programming language is RabbitMQ MCP Server written in?

RabbitMQ MCP Server is written in Python.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
MCP-Mirror
Star
0
Language
Python
License
Apache-2.0 license

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago