ThingsBoard
Provides a natural language interface for LLMs and AI agents to interact with the ThingsBoard IoT platform.
About
The ThingsBoard MCP Server integrates with the Model Context Protocol (MCP) to enable AI systems to seamlessly access and manipulate data within a ThingsBoard IoT platform using natural language commands. This allows users to query device data, manage assets and users, analyze IoT data, and automate operations through AI-powered workflows, connecting easily with MCP clients like Claude Desktop, Cursor, and other AI applications that support the MCP protocol.
Key Features
- Interact with ThingsBoard entities including devices, assets, customers, and users through natural language.
- Access and configure ThingsBoard administration settings, security policies, and version control.
- Access and manage telemetry data, including attributes and time-series data, with aggregation options.
- Discover and navigate relationships between various entities within ThingsBoard.
- 2 GitHub stars
- Fetch and manage alarms, alarm types, and severity information for specific entities.
Use Cases
- Query device data and telemetry using conversational language via AI assistants.
- Manage assets, customers, and users through AI-powered interfaces.
- Analyze IoT data and generate reports using integrated AI tools and workflows.