Today, we’re excited to announce the TagoIO Model Context Protocol (MCP) Server, a powerful new integration that connects AI models and development tools directly to your TagoIO environment. This breakthrough enables ChatGPT, Claude, Cursor, and other AI-powered tools to access your IoT data, devices, and platform resources in real-time—transforming how you build and manage IoT solutions.
Transform Complex Tasks into Simple Conversations
The MCP Server eliminates the friction between your IoT data and AI capabilities. What previously required manual exports, API calls, and context switching now happens through natural language:
“Show all humidity sensors that dropped below 30% in the past 48 hours”
“Compare energy consumption across every smart meter this month”
“Draft an Analysis script to trigger maintenance when vibration variance exceeds 15%”
Each request executes directly against your live TagoIO environment, returning real-time results that AI models can immediately process, analyze, and act upon.
Key Capabilities at a Glance
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Direct IoT Data Access: Query device readings, user information, and system logs instantly within AI conversations
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Intelligent Analytics: Generate statistical reports, identify anomalies, and calculate KPIs from live data
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Context-Aware Development: Build TagoIO Analysis scripts with full awareness of your devices, tags, and configurations
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Universal Compatibility: Works seamlessly with ChatGPT, Claude Desktop, VS Code, Cursor, Windsurf, and any MCP-compatible tool
For detailed installation instructions and configuration options, visit our MCP Server documentation.
