Tago Io MCP

Name: Tago Io MCP
Author: tago-io

by tago-ioversion 2.1.3i★ –iRuns on your computer

Registry nameio.github.tago-io/mcp-server

Install

Overview

Description from the maker (original English)

Model Context Protocol server for TagoIO data and analytics

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Marketing & social media
You need to fill in: TAGOIO_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: TAGOIO_TOKEN, TAGOIO_API

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tago-io": {
      "command": "npx",
      "args": [
        "-y",
        "@tago-io/mcp-server"
      ],
      "env": {
        "TAGOIO_TOKEN": "your-value",
        "TAGOIO_API": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add tago-io --env TAGOIO_TOKEN=your-value --env TAGOIO_API=your-value -- npx -y @tago-io/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tago-io": {
      "command": "npx",
      "args": [
        "-y",
        "@tago-io/mcp-server"
      ],
      "env": {
        "TAGOIO_TOKEN": "your-value",
        "TAGOIO_API": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tago-io": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@tago-io/mcp-server"
      ],
      "env": {
        "TAGOIO_TOKEN": "your-value",
        "TAGOIO_API": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TAGOIO_TOKEN secret required env
Your TagoIO Profile Token or Analysis Token
TAGOIO_API env
Your API endpoint for the TagoIO. Defaults to https://api.us-e1.tago.io

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account tago-io, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 2985 servers in this category
Published to the registry more recently than 0% of the other 2985 servers in this category
Basic checks equal to or better than 100% of the other 2985 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tago Io MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TAGOIO_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.3) reached the registry 12 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

%22%2C%22password%22%3Atrue%7D%5D%7D](https://vscode.dev/redirect/mcp/install?name=%40tago-io%2Fmcp&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmcp.ai.tago.io%22%2C%22headers%22%3A%7B%22Authorization%22%3A%22%24%7Binput%3Atagoio-token%7D%22%2C%22x-tagoio-region%22%3A%22us-e1%22%7D%2C%22inputs%22%3A%5B%7B%22id%22%3A%22tagoio-token%22%2C%22type%22%3A%22promptString%22%2C%22description%22%3A%22Enter%20your%20TagoIO%20Profile%20Token%20(Bearer%20format)%22%2C%22password%22%3Atrue%7D%5D%7D)) %22%2C%22password%22%3Atrue%7D%5D%7D&quality=insiders](https://insiders.vscode.dev/redirect/mcp/install?name=%40tago-io%2Fmcp&config=%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmcp.ai.tago.io%22%2C%22headers%22%3A%7B%22Authorization%22%3A%22%24%7Binput%3Atagoio-token%7D%22%2C%22x-tagoio-region%22%3A%22us-e1%22%7D%2C%22inputs%22%3A%5B%7B%22id%22%3A%22tagoio-token%22%2C%22type%22%3A%22promptString%22%2C%22description%22%3A%22Enter%20your%20TagoIO%20Profile%20Token%20(Bearer%20format)%22%2C%22password%22%3Atrue%7D%5D%7D&quality=insiders)) %22%2C%22password%22%3Atrue%7D%5D%7D](https://vs-open.link/mcp-install?%7B%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fmcp.ai.tago.io%22%2C%22headers%22%3A%7B%22Authorization%22%3A%22%24%7Binput%3Atagoio-token%7D%22%2C%22x-tagoio-region%22%3A%22us-e1%22%7D%2C%22inputs%22%3A%5B%7B%22id%22%3A%22tagoio-token%22%2C%22type%22%3A%22promptString%22%2C%22description%22%3A%22Enter%20your%20TagoIO%20Profile%20Token%20(Bearer%20format)%22%2C%22password%22%3Atrue%7D%5D%7D))

Start here

Get a token. Generate a Profile Token in TagoIO Profile Settings.
Add the server to your client. Use an install button above, or copy the config for your tool from Client setup.
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.

Client	Where the config lives
VS Code / GitHub Copilot	`.vscode/mcp.json` or User Settings
Claude Code	`claude mcp add-json` CLI
Claude Desktop	`~/Library/Application Support/Claude/claude_desktop_config.json` (macOS), `%APPDATA%\Claude\claude_desktop_config.json` (Windows)
Cursor	`~/.cursor/mcp.json`
Windsurf	`~/.codeium/windsurf/mcp_config.json`
JetBrains IDEs	Settings > Tools > AI Assistant > MCP
Google Gemini CLI	`~/.gemini/settings.json`
Amazon Q CLI	`~/.aws/amazonq/mcp.json`
Warp	`~/.warp/mcp.json`
Kiro	`.kiro/mcp.json`
OpenAI Agents / ChatGPT	Agent Builder UI

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

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

Warp

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" ] } } }

Kiro

Connect through the mcp-remote bridge, in .kiro/mcp.json at your project root.

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

OpenAI Agents / ChatGPT

In Agent Builder or ChatGPT MCP settings:

Server URL: https://mcp.ai.tago.io
Protocol: Streamable HTTP
Authentication: Authorization: Bearer YOUR-TAGOIO-TOKEN header

Choosing a token

Token	Where to get it	What it reaches
Profile	Profile Settings	Your whole profile. Start here.
Analysis	Analysis > your analysis, set to run "External"	Only what that analysis can reach. Fits shared and production environments where access is controlled through IAM.
Device	The device itself	That device's data. Account-level requests return a permission error.

Regions and endpoints

Requests go

Only the beginning is shown; read the rest in the repo

Tago Io MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

TagoIO | MCP Server

Start here

What you can ask for

Client setup

VS Code / GitHub Copilot

Claude Code

Claude Desktop

Cursor

Windsurf

JetBrains IDEs

Google Gemini CLI

Amazon Q CLI

Warp

Kiro

OpenAI Agents / ChatGPT

Choosing a token

Regions and endpoints