saurabhsharma2u/search-console-mcp
by Various
Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, and GA4, designed for AI agents and automation.
MCP
saurabhsharma2u/search-console-mcp
Added 1 June 2026
Overview
This MCP server exposes Google Search Console, Bing Webmaster Tools, and Google Analytics 4 data as resources for AI agents. It allows agents to query search performance and web analytics through the Model Context Protocol, treating site metrics as infrastructure.
Best for
Best for
Developers building AI agents or automation workflows that need direct access to search console and analytics data
Use cases
- Fetch search performance data from Google and Bing for automated reporting
- Integrate GA4 analytics into agent-driven dashboards or alerts
- Provide AI agents with live site metrics for decision-making tasks
Notes
This MCP server exposes Google Search Console, Bing Webmaster Tools, and Google Analytics 4 data as resources for AI agents. It allows agents to query search performance and web analytics through the Model Context Protocol, treating site metrics as infrastructure.
147 stars on GitHub. Last updated 2026-05-17. Licensed MIT.
Use cases
- Fetch search performance data from Google and Bing for automated reporting
- Integrate GA4 analytics into agent-driven dashboards or alerts
- Provide AI agents with live site metrics for decision-making tasks
Pros
- Unifies three major search and analytics platforms in one MCP server
- Written in TypeScript with clear type definitions for developers
- Open source with active community (147 stars) and MIT license
Cons
- Requires setting up API credentials for each data source separately
- Limited to Google Analytics 4; no support for older Universal Analytics
- Dependent on the Model Context Protocol, limiting use to MCP-compatible agents
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Unifies three major search and analytics platforms in one MCP server
- Written in TypeScript with clear type definitions for developers
- Open source with active community (147 stars) and MIT license
Cons
- Requires setting up API credentials for each data source separately
- Limited to Google Analytics 4; no support for older Universal Analytics
- Dependent on the Model Context Protocol, limiting use to MCP-compatible agents
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