# io.github.tago-io/mcp-server

> Use this tool when you need to manage and analyze data from TagoIO with a Model Context Protocol (MCP) server, solving problems related to data integration and analytics. It provides a core functionality of handling data and analytics requests, accepting inputs from TagoIO and outputting analyzed data. Ideal for use cases involving IoT data processing and visualization, where a standardized protocol is required for seamless communication.

Canonical page: https://skillsregistry.net/skills/io-github-tago-io-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tago-io-mcp-server

## Description

Model Context Protocol server for TagoIO data and analytics

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 2.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.tago-io%2Fmcp-server)
- **Repository:** <https://github.com/tago-io/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-tago-io-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tago-io-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tago-io-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt