QuerySail: Google Search Console MCP server

MCP serverSearch

Hosted, read-only Google Search Console MCP: performance, comparisons, URL inspection, sitemaps.

Use QuerySail: Google Search Console MCP server in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add QuerySail: Google Search Console MCP server and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use QuerySail: Google Search Console MCP server

Details

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

QuerySail: Google Search Console MCP serverStart free

Install QuerySail: Google Search Console MCP server

The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user querysail-google-search-console 'https://mcp.querysail.com/gsc/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.querysail.com/gsc/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=querysail-google-search-console&config=eyJ1cmwiOiJodHRwczovL21jcC5xdWVyeXNhaWwuY29tL2dzYy9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.querysail.com/gsc/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add querysail-google-search-console --url 'https://mcp.querysail.com/gsc/mcp'

    Run it once, then sign in with codex mcp login querysail-google-search-console if the server asks for an account.

From the project's README

As published by gidianb/querysail-gsc in README.md.

QuerySail is a hosted, read-only MCP server for Google Search Console. Connect it to ChatGPT, Claude, Codex, Cursor or VS Code, sign in, connect your Google account once, and ask about your search traffic in plain language. There is nothing to install and no API key to paste.

This repository holds the public listing files (MCP Registry server.json, a Claude Code plugin, client configs). The service itself is hosted at querysail.com; its source is not published here.

Tools

All tools are read-only. QuerySail cannot submit sitemaps, request indexing or change any Search Console setting.

ToolWhat it does
list_propertiesLists the Search Console properties your connected Google accounts can read, with exact IDs and permission level.
get_performanceClicks, impressions, CTR and average position, as totals or by date, hour, query, page, country, device or search appearance, with filters. Covers web, image, video, news, Discover and Google News results.
compare_performanceCompares two periods (previous period, same weekdays a year earlier, or custom dates) and lists the queries, pages, countries or devices that gained or lost the most.
inspect_urlsInspects up to 20 URLs: whether each is on Google, why not, last crawl, robots.txt and noindex blocking, and the canonical Google chose.
list_sitemapsLists submitted sitemaps with when Google last read them, URL counts, errors and warnings.

Example prompts

  • Which of my pages got the most clicks from Google in the last 28 days?
  • What changed in my search traffic compared with the previous 28 days?
  • Is my homepage indexed on Google, and which canonical did Google choose?
  • Which queries rank on page two for my blog, sorted by impressions?

Setup

You need a QuerySail account with Google Search Console connected: sign up at https://querysail.com. Each client below opens a browser window to sign in the first time.

Claude Code

claude mcp add --transport http --scope user querysail-gsc https://mcp.querysail.com/gsc/mcp

Then run /mcp, choose querysail-gsc and sign in. Or install it as a plugin, which also adds a Search Console analysis skill:

/plugin marketplace add GidianB/querysail-gsc
/plugin install querysail-gsc@querysail

Claude Desktop and claude.ai

Open Customize → Connectors, select + Add → Add custom connector, name it QuerySail and paste https://mcp.querysail.com/gsc/mcp as the server URL.

ChatGPT

Turn on Developer mode under Settings → Security and login, go to chatgpt.com/plugins, select the plus button and paste the endpoint as the connection URL.

Codex

codex mcp add querysail-gsc --url https://mcp.querysail.com/gsc/mcp
codex mcp login querysail-gsc

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "querysail-gsc": { "url": "https://mcp.querysail.com/gsc/mcp" }
  }
}

VS Code

Run MCP: Add Server, choose HTTP and paste the endpoint, or add to mcp.json:

{
  "servers": {
    "querysail-gsc": { "type": "http", "url": "https://mcp.querysail.com/gsc/mcp" }
  }
}

Clients that only run local commands

Use the mcp-remote bridge (needs Node.js):

{
  "mcpServers": {
    "querysail-gsc": { "command": "npx", "args": ["mcp-remote", "https://mcp.querysail.com/gsc/mcp"] }
  }
}

Data and limits

License

The files in this repository are MIT licensed. The QuerySail service is subject to its terms.

Signals

Last commit
Oct 2026
Advanced
Delivery
gsc MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
com-querysail-gsc
Source
github.com/gidianb/querysail-gsc
Hosted endpoint
https://mcp.querysail.com/gsc/mcp