# OMNI-MQTT-MCP

> Use this tool when you need to integrate AI assistants with MQTT-based systems, enabling seamless communication and data exchange between devices and applications. It solves problems related to real-time data publishing and subscription, supporting various transport options for flexible deployment. With configurable broker authentication, it provides a secure interface for AI agents to publish and subscribe to MQTT topics, making it ideal for both local development and web-based deployments.

Canonical page: https://skillsregistry.net/skills/omniscience-labs-omni-mqtt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/omniscience-labs-omni-mqtt-mcp

## Description

Enables AI assistants to publish and subscribe to MQTT topics with configurable transport options (STDIO, Streamable HTTP, SSE), supporting both local development and web deployments with flexible broker authentication.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbokm3jswb)
- **Repository:** <https://github.com/Omniscience-Labs/OMNI-MQTT-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": "omniscience-labs-omni-mqtt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omniscience-labs-omni-mqtt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omniscience-labs-omni-mqtt-mcp/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