IoT Realm
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Exposes real-time sensor data from IoT Realm devices to LLMs via the Model Context Protocol, enabling AI agents to access and act upon live environmental data.
About
IoT Realm allows AI agents to interact with real-time data from IoT devices. By connecting to an IoT Realm server, it fetches sensor data from devices like the AtmosWatcher (ESP32-based DHT11 client). It exposes this data to LLMs via the Model Context Protocol (MCP), providing tools for retrieving sensor readings, structured data resources, and predefined prompts. This empowers AI models to understand and react to live environmental conditions.
Key Features
- Real-Time Data Access for LLMs
- MCP-Compliant Tools
- Structured Data Resources for AI Models
- Predefined Prompts for Natural Language Interactions
- 0 GitHub stars
Use Cases
- Enabling AI agents to monitor and analyze environmental conditions
- Automating IoT device control based on LLM analysis
- Integrating real-world sensor data into AI-driven decision-making processes
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