The TagoIO MCP Server connects your AI assistant directly to your TagoIO account. Ask it to check device data, generate Analysis scripts, debug issues, or build reports — and it works with the actual context of your devices, dashboards, and configurations.
Here’s what it can do:
- Device management — List devices, read configurations, inspect real-time data.
- Data analysis — Run statistical operations on stored data: sums, averages, custom reports.
- Code generation — Generate TagoIO Analysis scripts with proper platform context and imports.
- Platform access — Retrieve users, actions, analysis scripts, and account statistics.
- Debug support — Trace issues and analyze tag relationships across your account.
What’s new in v3.0.0
Remote server. We’re hosting an MCP server at https://mcp.ai.tago.io. Point your IDE or AI tool to that URL with your Profile Token, and you’re connected. The setup guide has ready-to-copy configurations for 15+ platforms — VS Code, Claude Code, Cursor, Windsurf, JetBrains, GitHub Copilot, Gemini CLI, and more.
TagoDeploy dedicated instances. If you run a dedicated instance, add a single x-tagoio-region header with your instance URL and every request routes to your private environment. Works with both the hosted server and self-hosted setups.
Self-hosted HTTP transport. Prefer to run it yourself? The same HTTP Streamable transport is available locally via npx -y @tago-io/mcp-server http, or you can deploy it to AWS Lambda for a serverless setup.
STDIO transport and all existing tools continue to work the same way.
Get started
Grab your Profile Token from Profile Settings, pick your platform from the setup guide, and connect in a couple of minutes.
Questions or feedback — drop them here.