Skip to main content
search-console-mcp is an open-source implementation of the Model Context Protocol that gives AI agents direct, structured access to Google Search Console (GSC), Bing Webmaster Tools, and Google Analytics 4 (GA4). Unlike simple API wrappers, this project focuses on providing SEO Intelligence Tools. Instead of just asking an agent to “look at my data,” you can give it tools to “find quick wins,” “detect traffic anomalies,” or “submit URLs instantly.”

​
Key Capabilities

  • Multi-Platform Support: Manage sites and behavior data for Google, Bing, and GA4 in one place.
  • Advanced Analytics: Multi-dimensional analysis, rolling averages, and behavior correlation across all platforms.
  • SEO Insights: Deterministic detection of cannibalization, Striking Distance keywords, and “Low-Hanging Fruit.”
  • Site Health Check: Automated diagnostics across all your properties — performance trends, sitemap status, and anomaly detection in one call.
  • Instant Indexing: Use IndexNow to instantly notify Bing and other engines of content changes.
  • Sitemap Control: List, submit, and delete sitemaps.
  • URL Inspection: Check the indexing status of individual pages on Google and Bing.
  • PageSpeed Integration: Measure performance and Core Web Vitals directly within your SEO workflow.

​
The Problem

Working with SEO data in LLMs usually involves:
  1. Exporting CSVs.
  2. Uploading them to a chat window.
  3. Hoping the model calculates standard deviations or trends correctly.

​
The Solution

With this MCP server, the agent has a “toolbox.” When you ask “Why did my traffic drop?”, the agent doesn’t guess. It calls analytics_time_series to check for anomalies, inspect_url to see if pages were de-indexed, and traffic_health_check to correlate with GA4 behavior.

​
Supported Clients

This server works with any MCP-compatible client, including: