# GA4 MCP Server

> GA4 MCP Server — devopsbrandmirchi-googlemcpserver. Use this tool when you need to analyze Google Analytics 4 data using natural language queries, enabling easy report generation, period comparisons, and real-time metric exploration across multiple properties. It solves problems of complex data analysis and provides insights through a user-friendly interface with OAuth-based authentication. Ideal for use cases requiring simplified access to GA4 data, such as data-driven decision making and performance monitoring.

Canonical page: https://skillsregistry.net/skills/devopsbrandmirchi-googlemcpserver  
JSON: https://api.skillsregistry.net/v1/skills/devopsbrandmirchi-googlemcpserver

## Description

Enables querying Google Analytics 4 data through natural language, including running reports, comparing periods, and exploring realtime metrics across multi-tenant properties with OAuth-based authentication.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lp9xkpt125)
- **Repository:** <https://github.com/devopsbrandmirchi/GoogleMcpServer>

## 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": "devopsbrandmirchi-googlemcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devopsbrandmirchi-googlemcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devopsbrandmirchi-googlemcpserver/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
