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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). 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” or “detect traffic anomalies.”

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Key Capabilities

  • Advanced Analytics: Go beyond basic queries with multi-dimensional analysis and rolling averages.
  • 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.
  • Site Management: List, add, and verify site properties.
  • Sitemap Control: List, submit, and delete sitemaps.
  • URL Inspection: Check the indexing status of individual pages.
  • PageSpeed Integration: Measure performance and Core Web Vitals directly within your SEO workflow.

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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.

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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 seo_insights to check for ranking shifts.

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Supported Clients

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