CiteHawk vs Google Analytics MCP

In-depth architectural comparison of the CiteHawk and Google Analytics MCP 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?

C

Choose CiteHawk when:

• You need dedicated capabilities in the Marketing domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore CiteHawk Details

Choose Google Analytics MCP when:

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

Explore Google Analytics MCP Details

Feature & Specification Comparison

Specification	C CiteHawk Marketing	Google Analytics MCP Marketing
Summary	AI-search visibility (GEO) analytics: brand scores, competitor rankings, recommendations, evidence.	An MCP server that provides [describe what your server does]
Category & Scope	Marketing	Marketing
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": {
    "citehawk": {
      "url": "https://www.citehawk.com/docs/mcp"
    }
  }
}

{
  "mcpServers": {
    "google-analytics-mcp": {
      "command": "uvx",
      "args": [
        "google-analytics-mcp"
      ]
    }
  }
}

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