mqttasgi Skill
mqttasgi is a Python AI agent skill with uvx/pip. MQTT ASGI Protocol Server
How to use mqttasgi Skill
Install or run
pip install mqttasgiWhat is mqttasgi Skill?
mqttasgi is a Python AI agent skill with uvx/pip. MQTT ASGI Protocol Server This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Anthropic provider support
- claude_skill/SKILL.md config support
- Reusing agent instructions, scripts, and references
- Agent skills workflows
Technical details
Install or run mqttasgi using uvx/pip. Check sivulich/mqttasgi for the latest setup command.
- Built for Python
- Install or run with uvx/pip
- Uses SSE transport
- API key required
- Database access
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use mqttasgi Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
Built with
Explore related resources
Frequently asked questions
What is mqttasgi?
mqttasgi is a Python AI agent skill with uvx/pip. MQTT ASGI Protocol Server
Who is mqttasgi best for?
mqttasgi is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows.
How do I install mqttasgi?
Install or run mqttasgi using uvx/pip. Check mqttasgi for the latest setup command.
Is mqttasgi actively maintained?
mqttasgi may need a closer maintenance check before production use.
Auto-fetched from GitHub.
