# Metrifyr

> Metrifyr — cloud-metrifyr-mcp. Use this tool when you need to analyze website performance and advertising metrics by querying Google Analytics 4, Search Console, GTM, and AdSense using natural language inputs. It solves problems related to data retrieval and analysis, providing outputs in a user-friendly format. Ideal for MCP clients seeking to simplify their data analysis workflows and gain insights into their online presence.

Canonical page: https://skillsregistry.net/skills/cloud-metrifyr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cloud-metrifyr-mcp

## Description

Query Google Analytics 4, Search Console, GTM & AdSense with natural language from MCP clients.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-13

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/cloud.metrifyr%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.metrifyr.cloud/mcp`

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": "cloud-metrifyr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloud-metrifyr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloud-metrifyr-mcp/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