# RocketMQ

> Use this tool when you need to integrate AI applications with message queues for distributed communication and data processing. RocketMQ enables reliable and efficient message passing, solving problems of scalability, concurrency, and fault tolerance in distributed systems. It accepts message data as input and outputs processed messages, ideal for use cases requiring high-throughput and low-latency messaging.

Canonical page: https://skillsregistry.net/skills/francisoliverlee-rocketmq  
JSON: https://api.skillsregistry.net/v1/skills/francisoliverlee-rocketmq

## Description

A Message Context Protocol (MCP) server implementation for RocketMQ, allowing AI applications to interact with RocketMQ message queues.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/francisoliverlee-rocketmq)
- **Repository:** <https://github.com/francisoliverlee/rocketmq-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "francisoliverlee-rocketmq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/francisoliverlee-rocketmq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/francisoliverlee-rocketmq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt