A1-x-Tech/mcp-google-search-console

Overview

MCP server that connects AI applications to Google Search Console. It exposes search performance analysis, URL indexing inspection, and sitemap management through the Model Context Protocol. Written in TypeScript.

Best for

Best for
Developers building AI assistants that need Google Search Console data.

Use cases

• Query search performance metrics from an AI assistant
• Check URL indexing status through a chat interface
• Manage sitemaps programmatically via MCP

How to use

Tools exposed

• GOOGLE_SEARCH_CONSOLE_CLIENT_ID
• GOOGLE_SEARCH_CONSOLE_CLIENT_SECRET
• GOOGLE_SEARCH_CONSOLE_REFRESH_TOKEN
• GOOGLE_SEARCH_CONSOLE_ACCESS_TOKEN
• GOOGLE_SEARCH_CONSOLE_OAUTH_PORT
• GOOGLE_SEARCH_CONSOLE_API_BASE
• GOOGLE_SEARCH_CONSOLE_TIMEOUT_MS
• GOOGLE_SEARCH_CONSOLE_MAX_RETRIES

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

MCP server that connects AI applications to Google Search Console. It exposes search performance analysis, URL indexing inspection, and sitemap management through the Model Context Protocol. Written in TypeScript.

0 stars on GitHub. Last updated 2026-10-04. Licensed MIT.

Use cases

• Query search performance metrics from an AI assistant
• Check URL indexing status through a chat interface
• Manage sitemaps programmatically via MCP

Pros

• Covers three core Google Search Console workflows in one server
• Uses the standard MCP protocol for integration with AI apps
• TypeScript codebase for type safety

Cons

• No stars or community adoption yet
• Not an official Google product
• Requires an MCP-compatible client to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.