Google Analytics 4 MCP

Google Analytics 4 MCP: reports, realtime, funnels, pivots, metadata, admin lists. 17 tools.

What does this entry provide?

Google Analytics 4 MCP is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Google Analytics 4 MCP to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 73/100
Install method: pypi
Repo: scalably-io/ga4-mcp
Repo updated: Sep 9, 2026

Install command

uvx scalably-ga4-mcp==1.0.1

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Sep 9, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-09-09T06:25:54.818475Z",
      "publishedAt": "2026-09-09T06:25:54.818475Z",
      "statusChangedAt": "2026-09-09T06:25:54.818475Z"
    }
  },
  "server": {
    "name": "io.scalably/ga4-mcp",
    "title": "Google Analytics 4 MCP",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.0.1",
    "packages": [
      {
        "version": "1.0.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "scalably-ga4-mcp",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "GOOGLE_APPLICATION_CREDENTIALS",
            "isRequired": true,
            "description": "Path to a Google service-account JSON file with the analytics.readonly scope; add the service account as a Viewer on each GA4 property"
          },
          {
            "name": "GA4_LOG_LEVEL",
            "description": "Log level, default INFO"
          }
        ]
      },
      {
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "702a5de1be0f7c363981541f0cc99ab5b7f7f9d0ab679bd2c69c206001efbed5",
        "identifier": "https://github.com/scalably-io/ga4-mcp/releases/download/v1.0.1/ga4-mcp.mcpb",
        "registryType": "mcpb"
      }
    ],
    "repository": {
      "url": "https://github.com/scalably-io/ga4-mcp",
      "source": "github"
    },
    "websiteUrl": "https://scalably.io/mcp/ga4-mcp",
    "description": "Google Analytics 4 MCP: reports, realtime, funnels, pivots, metadata, admin lists. 17 tools."
  }
}

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