TagoIO | MCP Server

Work on your TagoIO account by asking. Your AI assistant reads your devices, data, dashboards, and analyses, and makes the changes you ask for, from your IDE or chat tool.

Start here

1. Get a token. Generate a Profile Token in TagoIO Profile Settings.
2. Add the server to your client. Use an install button above, or copy the config for your tool from Client setup.
3. Ask something. Try: "List my devices and tell me which ones stopped sending data this week."

Your client connects to the TagoIO hosted server at https://mcp.ai.tago.io. You can also run the server yourself.

What you can ask for

The server gives your assistant around 80 focused capabilities across your account. You describe the outcome, and it picks the tools. Some things that work well today:

Understand your fleet

• "Which devices haven't sent data in the last 7 days?"
• "Show me the last 50 records from Water Meter 12 and summarize the flow variable."
• "Create a device on my LoRaWAN network, then give me its token."

Debug without tab-switching

• "The Daily Report analysis failed last night. Read the console and tell me why."
• "Fix the bug you found, upload the script, and run it once to confirm."
• "A customer says their dashboard is empty. Log in as that user and check what they see."

Build dashboards from a description

• "Build a dashboard for my cold chain fleet: a map of the units, a temperature line chart for the last 24 hours, and a card for battery level."
• "This gauge shows no value. Compare its configuration to the variables the device actually sends."

Untangle permissions

• "My analysis gets a permission error writing to the Sites entity. What policy does it need?"
• "Show me every access policy that touches TagoRUN users."

Keep the account tidy

• "How close am I to my data records limit this month?"
• "Find stored files older than a year and larger than 5 MB, then delete them."

Write code with the docs in context

• "Find the official example for parsing a Dragino LHT65 payload and adapt it to my device."

The server reads and writes. Deleting data, rotating credentials, and uploading scripts run through your assistant's confirmation flow, so you approve each change before it lands.

Client setup

Each config below points at the hosted server. Replace YOUR-TAGOIO-TOKEN with your Profile Token.

VS Code / GitHub Copilot

Add to .vscode/mcp.json for one project, or to User Settings for all of them. VS Code Insiders takes the same config, and Copilot reads the same file.

{
  "servers": {
    "@tago-io/mcp": {
      "type": "http",
      "url": "https://mcp.ai.tago.io",
      "headers": {
        "Authorization": "Bearer ${input:tagoToken}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "tagoToken",
      "description": "TagoIO Profile Token",
      "password": true
    }
  ]
}

Claude Code

claude mcp add-json tagoio '{"type":"http","url":"https://mcp.ai.tago.io","headers":{"Authorization":"Bearer YOUR-TAGOIO-TOKEN"}}'

Claude Desktop

Connect through the mcp-remote bridge.

{
  "mcpServers": {
    "@tago-io/mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.ai.tago.io",
        "--header",
        "Authorization: Bearer YOUR-TAGOIO-TOKEN"
      ]
    }
  }
}

Cursor

{
  "mcpServers": {
    "@tago-io/mcp": {
      "url": "https://mcp.ai.tago.io",
      "headers": {
        "Authorization": "Bearer YOUR-TAGOIO-TOKEN"
      }
    }
  }
}

Windsurf

{
  "mcpServers": {
    "@tago-io/mcp": {
      "serverUrl": "https://mcp.ai.tago.io",
      "headers": {
        "Authorization": "Bearer YOUR-TAGOIO-TOKEN"
      }
    }
  }
}

JetBrains IDEs

Open Settings > Tools > AI Assistant > Model Context Protocol (MCP), add a server, and paste:

{
  "servers": {
    "@tago-io/mcp": {
      "url": "https://mcp.ai.tago.io",
      "requestInit": {
        "headers": {
          "Authorization": "Bearer YOUR-TAGOIO-TOKEN"
        }
      }
    }
  }
}

Google Gemini CLI

{
  "mcpServers": {
    "@tago-io/mcp": {
      "httpUrl": "https://mcp.ai.tago.io",
      "headers": {
        "Authorization": "Bearer YOUR-TAGOIO-TOKEN"
      }
    }
  }
}

Amazon Q CLI