Google Search Console MCP Server
Connect to the Google Search Console MCP server to query search analytics, inspect URL indexing, and monitor sitemaps using AI agents on Gumloop, Claude, or Cursor.
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Google Search Console
Installation
Set up the Google Search Console MCP server in Gumloop
Do this once to provision your hosted server URL.
Create a Gumloop account
To use this MCP, you need a Gumloop account. If you don't have one yet, sign up and start a 14-day free trial.
Add and authorize the Google Search Console server
In Gumloop, open Connectors and add Google Search Console. You'll be sent to Google Search Console's sign-in screen to grant access. The credential is stored securely in Gumloop.
Then use it in your client
Use in GumloopUse Google Search Console in an agent
Once Google Search Console is set up, just open any Gumloop agent, add Google Search Console as a connector, and start chatting with the agent.
Tools (6)
List Sites
List Search Console properties accessible to the user
Get Site
Get permission details for a Search Console property
Query Search Analytics
Query Search Console performance data with dimensions and filters
Inspect Url
Inspect Google indexing status for a URL
List Sitemaps
List submitted sitemaps for a Search Console property
Get Sitemap
Get details for a submitted sitemap
What is Google Search Console MCP?
The Google Search Console MCP server gives AI agents read access to your Search Console data. That means agents can list the properties you have access to, query search analytics (clicks, impressions, CTR, and average position) across dimensions like query, page, country, device, and date, inspect the Google indexing status of any URL, list your submitted sitemaps, pull the details for a single sitemap, and read the permission level you hold on a property. It works across the data Search Console exposes for organic search, from performance reporting to indexing and sitemap health.
If your team spends time exporting performance data into spreadsheets, checking indexing status one URL at a time, or assembling weekly SEO reports by hand, an AI agent can take over a lot of that pulling and formatting. Describe what you need, and your AI agent will handle the Search Console reporting for you.
MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of creating a Google Cloud project, configuring an OAuth consent screen, and managing client credentials and refresh tokens against the Search Console API, you connect your Google account to Gumloop once. After that, you can pull your search performance just by chatting with your AI agent.
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What you can do with Google Search Console MCP on Gumloop
Query search analytics across every dimension
Pull clicks, impressions, CTR, and average position from the Search Console MCP server, broken down by query, page, country, device, search appearance, and date. An AI agent can apply filters and date ranges so you get exactly the slice of organic performance you asked for.
Track search performance over time
Use the date dimension to compare clicks, impressions, CTR, and position week over week or month over month. This makes the Google Search Console MCP server a strong foundation for an AI SEO reporting agent that summarizes trends instead of dumping raw rows.
Inspect URL indexing status at scale
Check the Google indexing status for any URL on a property, including coverage, the last crawl, the canonical Google selected, and whether the page is eligible to appear in search. An agent can run inspections across a list of URLs so you catch indexing problems without checking each one by hand.
Monitor your submitted sitemaps
List the sitemaps submitted for a property and pull the details for a single sitemap, including the last time Google downloaded it, processing warnings or errors, and the content types it contains. Your agent can watch sitemap health and flag the ones that need attention.
List your Search Console properties
Retrieve every Search Console property your connected Google account can reach. An AI agent can loop over your sites to report on a whole portfolio rather than one property at a time.
Check property permission levels
Read the permission details for a specific property, so an agent knows the level of access you hold before it reports on that site. This keeps multi-property reporting grounded in what your account is actually allowed to see.
How to connect the Gumloop Google Search Console MCP Server
- 1
Create a Gumloop account
Sign up at gumloop.com. Every new account starts with a 14-day free trial.
- 2
Add the Google Search Console MCP server
Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.
- 3
Start using Google Search Console in your AI workflows
That's it. Your AI agent can now query search analytics, inspect URL indexing, monitor sitemaps, and list your properties. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.
Google Search Console MCP use cases
Weekly AI SEO performance report for marketing teams
A Gumloop agent can query search analytics for the past week, compare clicks, impressions, CTR, and position against the prior period, and write a clean summary into Google Sheets or post it to a Slack channel. The team gets a current view of organic performance without anyone exporting a CSV and building the report by hand.
Indexing coverage audits for SEO specialists
Give an AI agent a list of important URLs and have it inspect the Google indexing status of each one, then flag any page that is not indexed, has the wrong canonical, or failed its last crawl. Specialists catch coverage problems early instead of spot-checking URLs one at a time.
Sitemap health monitoring for technical SEO and web ops
An agent can list the sitemaps submitted for a property, pull the details for each, and alert the team when Google reports processing warnings or errors or has not downloaded a sitemap recently. Sitemap issues surface on their own rather than sitting unnoticed until traffic drops.
Query opportunity mining for content teams
Have an AI agent query search analytics by query and surface terms with high impressions but low CTR or weak average position. Content teams get a ranked list of pages and queries worth refreshing, drawn straight from real Search Console data.
Multi-site search reporting for agencies
An agent can list every Search Console property the connected account reaches, query performance for each one, and roll the numbers into a single client-ready report in Google Sheets. Agencies cover a whole portfolio of sites without logging into each property separately.
Why use Gumloop for Google Search Console MCP
No Google Cloud setup to manage
Most Google Search Console MCP servers you’ll find on GitHub make you create a Google Cloud project, configure an OAuth consent screen, and juggle a client ID, client secret, and refresh tokens. With Gumloop you connect your Google account once and Gumloop handles authentication, using a read-only scope. No GCP project, consent screen, or service account credentials necessary.
Works with multiple MCP clients
Use the Google Search Console MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop agents. Same server URL, works with any MCP client.
Chain Google Search Console with 100+ other integrations
Combine Google Search Console with Google Sheets, Slack, Google Analytics, and other MCP integrations in a single AI agent. An agent can pull search performance from one property, summarize it, and write the result to a spreadsheet or a Slack channel.
Enterprise-grade and scalable
Built for teams, with role-based permissions and dedicated support for Pro users. The Google Search Console MCP server respects your existing Search Console access controls, so an agent only reaches the properties your account can. For details on Gumloop’s security practices, see trust.gumloop.com.
Pricing with a free trial
You can test the Google Search Console MCP integration during Gumloop’s 14-day free trial before committing. Paid plans start at $37/month.
Frequently asked questions
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