Add llms.txt for AI model discovery and integration
- Concise technical overview for AI models and LLM systems - Key features, installation, and integration examples - MQTT tools reference and use cases - Standard format for AI model consumption - Ready for PyPI publication
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llms.txt
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llms.txt
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# mcmqtt - FastMCP MQTT Server
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mcmqtt is a FastMCP server that enables MQTT integration for MCP clients with embedded broker support and fractal agent orchestration.
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## Quick Start
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```bash
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uvx mcmqtt # Start STDIO server (default)
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uvx mcmqtt --transport http # Start HTTP server
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```
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## MCP Integration
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```bash
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claude mcp add task-buzz -- uvx mcmqtt
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```
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## Core Features
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- Zero-configuration MQTT broker spawning
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- FastMCP native Model Context Protocol server
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- Real-time message publishing and subscribing
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- Embedded broker management
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- Cross-platform compatibility (Linux, macOS, Windows)
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## MQTT Tools Available
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- mqtt_connect - Connect to MQTT brokers
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- mqtt_publish - Publish messages with QoS support
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- mqtt_subscribe - Subscribe to topics with wildcards
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- mqtt_get_messages - Retrieve received messages
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- mqtt_status - Get connection and statistics
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- mqtt_spawn_broker - Create embedded brokers instantly
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- mqtt_list_brokers - Manage multiple brokers
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## Architecture
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Clean modular design: CLI → Config → Logging → Server → MQTT → MCP → Broker → Middleware
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## Use Cases
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- AI agent coordination and swarm intelligence
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- IoT sensor data collection and processing
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- Microservice event streaming and coordination
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- Real-time gaming and live applications
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- DevOps infrastructure automation
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- Multi-model AI orchestration
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## Installation
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```bash
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uvx mcmqtt # Recommended: instant execution
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uv add mcmqtt # Or install with uv
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pip install mcmqtt # Or use pip
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```
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## Repository
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https://git.supported.systems/MCP/mcmqtt
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## License
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MIT
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