Google Analytics 4 MCP vs Atlas

In-depth architectural comparison of the Google Analytics 4 MCP and Atlas MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

G

Choose Google Analytics 4 MCP when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Google Analytics 4 MCP Details

Choose Atlas when:

• You need dedicated capabilities in the Developer Tools domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore Atlas Details

Feature & Specification Comparison

Specification	G Google Analytics 4 MCP Developer Tools	Atlas Developer Tools
Summary	Google Analytics 4 MCP: reports, realtime, funnels, pivots, metadata, admin lists. 17 tools.	Atlas is a YAML-defined semantic layer for analytics — authored by humans, consumed by AI agents.
Category & Scope	Developer Tools	Developer Tools
Quality signal

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "google-analytics-4-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "google-analytics-4-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "atlas-2": {
      "command": "bunx",
      "args": [
        "@useatlas/mcp"
      ]
    }
  }
}

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