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google-meta-ads-ga4-mcp vs fetch

Side-by-side comparison to help you pick between these two MCP servers.

google-meta-ads-ga4-mcp
by irinabuht12-oss
fetch
by modelcontextprotocol
Stars★ 987★ 85,748
30d uses
Score5476
Official
Categories
FinanceE-commerceProductivity
Web ScrapingAI / LLM ToolsProductivity
LanguageTypeScript
Last commit1 mo agothis month

google-meta-ads-ga4-mcp · Summary

Unified MCP server for Google Ads, Meta Ads & GA4 with 250+ tools for cross-platform campaign management and analytics.

fetch · Summary

An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.

google-meta-ads-ga4-mcp · Use cases

  • Run unified audits across Google Ads and Meta Ads accounts
  • Create, manage and optimize campaigns across multiple ad platforms
  • Correlate ad spend with GA4 conversion data for ROAS analysis

fetch · Use cases

  • LLMs reading news articles and blogs
  • Content analysis of web pages
  • Retrieving information from public websites
  • Chunked reading of large web documents

google-meta-ads-ga4-mcp · Install

Installation

Claude Desktop (Recommended)

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}

> **Config file location:** > - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json > - Windows: %APPDATA%\Claude\claude_desktop_config.json

ChatGPT

  1. Go to **Settings** > **Connectors** > **Add custom connector**
  2. Enter the MCP endpoint URL: YOUR_MCP_ENDPOINT_URL
  3. Name it Google Meta Ads GA4
  4. Click **Save**

Cursor / Windsurf

Add to your MCP config (~/.cursor/mcp.json or ~/.codeium/windsurf/mcp_config.json):

{
  "mcpServers": {
    "google-meta-ads-ga4": {
      "url": "YOUR_MCP_ENDPOINT_URL"
    }
  }
}

fetch · Install

Installation

**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:

uvx mcp-server-fetch

**Using PIP** Install via pip:

pip install mcp-server-fetch

Then run as:

python -m mcp_server_fetch

Claude Desktop Configuration

{
  "mcpServers": {
    "fetch": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.