mqtt-expert

mqtt-expert is an agent for coding agents from 0xfurai/claude-code-subagents. It costs 39 tokens per session (378 once invoked), scanned A, original, MIT.

A specialist guide for MQTT, a messaging protocol commonly used by connected devices and IoT systems. It covers brokers, topics, delivery guarantees, retained messages, and secure connections.

In plain words
What is it for?
Use it to design MQTT topic structures, choose quality-of-service levels, manage client connections, configure message retention, and secure broker communication.
Why use it?
It helps prevent lost messages, poorly organised device topics, fragile connections, and unsuitable delivery settings.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/0xfurai/claude-code-subagents/mqtt-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mqtt-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/mqtt-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/mqtt-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/mqtt-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/mqtt-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 378 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00378
Opus 5 $0.00019 $0.00189
Sonnet 5 $0.00008 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 2d ago against content hash 20612aa90341, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

mqtt-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/mqtt-expert.md · 59 lines

What it actually says

Focus Areas

  • Understanding MQTT protocol basics
  • Implementing QoS levels effectively
  • MQTT connection lifecycle management
  • Topic structure and hierarchy design
  • Message retention and persistence strategies
  • Handling retained and last will messages
  • Security measures for MQTT communications
  • Efficient use of MQTT brokers
  • Scalability considerations in MQTT setups
  • Monitoring and logging MQTT activity

Approach

  • Keep messages lightweight and efficient
  • Use clean session flag appropriately
  • Optimize topic hierarchies for better organization
  • Set appropriate QoS based on use cases
  • Maintain robust client-broker connections
  • Implement authentication and encryption
  • Use MQTT feature set fully for better resource management
  • Ensure minimal latency in message delivery
  • Validate payload formats consistently
  • Leverage MQTT retained messages wisely

Quality Checklist

  • Verify adherence to MQTT protocol standards
  • Ensure all QoS levels are tested
  • Confirm secure client-broker communication
  • Check message delivery against expected latency
  • Review topic hierarchy for optimal organization
  • Validate retention and persistence configurations
  • Monitor for unexpected disconnections
  • Audit security configurations regularly
  • Test scalability under load conditions
  • Conduct regular performance tuning

Output

  • Highly efficient MQTT communication patterns
  • Secure implementation of MQTT connections
  • Well-organized topic hierarchy and structure
  • Configured MQTT brokers for optimal performance
  • Documented QoS usage across applications
  • Troubleshooting guides for common errors
  • Performance benchmarks for MQTT setups
  • Logs and metrics for ongoing monitoring
  • Best practice guidelines for MQTT implementations
  • Comprehensive test cases for MQTT systems
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 59 lines · 39 tokens per session scan A 20612aa90341

Subscribe to this mod's changes

mqtt-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 39 tokens to every session and 378 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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