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 | — | — |
| Score | 54 | 76 |
| Official | — | ✓ |
| Categories | FinanceE-commerceProductivity | Web ScrapingAI / LLM ToolsProductivity |
| Language | — | TypeScript |
| Last commit | 1 mo ago | this 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
- Go to **Settings** > **Connectors** > **Add custom connector**
- Enter the MCP endpoint URL:
YOUR_MCP_ENDPOINT_URL - Name it
Google Meta Ads GA4 - 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-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}