The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the SearchConsole.ai listing page.
SearchConsole.ai is a hosted, read-only Google Search Console MCP server for GSC search analytics, SEO performance, URL inspection, indexing diagnostics, and sitemaps. Use the Google Search Console API as an SEO MCP integration in Codex, Claude Code, Cursor, ChatGPT, or another OAuth-capable MCP client without creating a Google Cloud project.
Or choose a client directly:
For Codex and Claude Code, the CLI invokes the client's supported mcp add command and starts its MCP OAuth flow. For Cursor, it safely adds this entry to ~/.cursor/mcp.json, preserving existing configuration and creating a backup before changing an existing file:
Preview changes without applying them:
Configure a command-line client without opening OAuth immediately:
This package does not contain or run a local Search Console server. It never asks for, receives, or stores Google credentials. Authentication is handled by the MCP client and the hosted SearchConsole.ai OAuth service.
Add a remote Streamable HTTP MCP server named searchconsole-ai with this URL:
Full instructions: searchconsole.ai
Public source and release history: github.com/AndreyAzimov/searchconsole-ai
After configuring the server, complete the client's OAuth sign-in with a Google account that has access to your Search Console properties. Then ask your AI assistant to use SearchConsole.ai, specifying the property and date range you want to analyze.
Example prompts:
Replace the example domain and URL with your own. SearchConsole.ai reads Search Console data; it does not edit your website, submit sitemaps, or request indexing.
MIT