# mqtt-mcp-server

> mqtt-mcp-server — schimmilab-mqtt-mcp-server. Use this tool when you need to retrieve or publish MQTT messages, or analyze message history, to solve problems such as monitoring device activity, detecting connection gaps, or tracking data trends. It provides inputs such as query parameters and outputs like historical data, topic inventories, and last values, through an interface that supports both read and write modes. This tool is ideal for use cases that require analyzing or publishing MQTT messages, such as IoT device monitoring or data analytics applications.

Canonical page: https://skillsregistry.net/skills/schimmilab-mqtt-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/schimmilab-mqtt-mcp-server

## Description

Enables AI agents to query MQTT message history stored in SQLite, including topic inventories, last values, historical data, silent devices, and collector connection gaps. Supports publishing messages when write mode is enabled.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iatv5m5qbf)
- **Repository:** <https://github.com/Schimmilab/mqtt-mcp-server>

## 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": "schimmilab-mqtt-mcp-server"
    }
  }
}
```

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