Google Search Console MCP

Ask your Search Console data in plain language and get real numbers, not guesses. The GSC Wizard MCP plugs your live Google Search Console data straight into Claude, ChatGPT, Grok, and any MCP-capable assistant - so the model reads your actual clicks, impressions, position and CTR instead of inventing them.

Connector endpoint: mcp.gscwizard.com

Real benchmark

4.4 seconds

A full SEO report over a 4 GB dataset, generated end to end in 4.4 seconds - the whole property scanned, aggregated and written up while you wait.

The MCP runs on a ClickHouse backend, so it queries billions of rows directly instead of paging through the GSC API one slow batch at a time. For non-subscription users it falls back to the GSC API and can be slower.

Same connector, Google Analytics 4 too

The MCP also reads GA4: sessions, conversions, ecommerce revenue and AI / LLM traffic, blended with your Search Console data.

Explore the GA4 MCP
Video

See the MCP in action

Watch a daily SEO agent built on the GSC Wizard MCP keep a site lean - pulling real indexing, ranking and decay data instead of guessing.

Standard MCP data flow & risks vs GSC Wizard MCP

Most Search Console MCPs hand raw API rows to the model and hope for the best. GSC Wizard does the heavy lifting server-side and returns a finished, verifiable answer.

A typical Search Console MCP

Slow, sampled, hallucination-prone

Your AI
assistant
GSC API
(slow paging)
Raw rows
dumped in
Guessed
answer
  • Made-up numbers. Raw rows overflow the context, so the model summarises from a partial view and fills gaps with invented figures.
  • Sampling & row limits. The GSC API caps and samples results, so big properties are never fully covered.
  • Slow. Paging the API one batch at a time means minutes of waiting before any analysis starts.

GSC Wizard MCP

Full dataset, server-side analysis, verified answer

Your AI
assistant
GSC Wizard
MCP
ClickHouse
billions of rows
Verified
answer
  • No hallucinating. The MCP computes the answer server-side and returns finished figures - the model reads the numbers, it does not invent them.
  • Full dataset, no sampling. ClickHouse queries billions of rows directly, so even a 4 GB property is covered end to end.
  • Fast. A full SEO report in about 4.4 seconds, not minutes of API paging.

Why the GSC Wizard MCP is different

Two things change the moment you connect it: it is much faster, and it stops your assistant from making numbers up.

Fastest Search Console MCP

A full SEO report over a 4 GB dataset in 4.4 seconds. No exporting, no filtering, no pivot tables - you ask, the analysis is already done.

Zero hallucination

Every clicks, impressions, position and CTR figure comes from your own Search Console data through the MCP. The model reads the numbers, it does not invent them.

ClickHouse backend

Queries billions of rows directly instead of paging through the GSC API one slow batch at a time - so there is no sampling and no row caps on your data.

Your data stays yours

Hosted and read-only. The MCP only reads the properties already connected to your GSC Wizard account, and you connect with a revocable API key or one-click sign-in.

Works with every MCP client

Claude, ChatGPT, Grok, and any MCP-capable assistant. Add mcp.gscwizard.com as a connector and start asking.

Purpose-built SEO tools

The same analyses that power GSC Wizard - cannibalization, content decay, striking distance, indexing, reports - exposed as tools your assistant can call directly.

GSC Wizard MCP vs other Search Console MCPs

The same connector protocol, a very different experience.

  Typical GSC MCP GSC Wizard MCP
Data backend GSC API, paged batch by batch ClickHouse warehouse, billions of rows
Full SEO report speed Minutes of API paging ~4.4 seconds over a 4 GB dataset
Sampling & row limits Sampled, API row caps Full dataset, no sampling
How the model gets answers Raw rows dumped into context Server-side analysis, finished figures
Hallucination risk High - invents missing numbers None - reads real figures only
SEO analyses built in Basic query/page pulls Cannibalization, decay, striking distance, indexing, reports
Setup Local server, hand over OAuth tokens Hosted; one-click sign-in or API key

Weighing this against the wider ecosystem? Read our roundup of the best SEO MCP servers in 2026, covering Ahrefs, Semrush, SE Ranking, DataForSEO, Screaming Frog and the free Google options.

Use cases

What people actually use it for

Eight jobs the MCP does end to end. Each one is a single prompt in Claude, ChatGPT or Grok - the assistant picks the tools, the analysis runs on our servers against your real Search Console data, and you get the answer rather than a wall of rows to interpret.

Traffic drop

Find the day it broke, not the week

“Organic is down about 20% this month. Find when it actually started and what changed.”

Instead of eyeballing a chart, it runs step-change and anomaly detection over the daily series to pin the date, then diffs queries and pages across that boundary and checks the date against confirmed Google updates. You get a date, a list of what moved, and whether an algorithm update lines up with it.

detect_change_points detect_anomalies get_ranking_changes list_algo_updates
Client reporting

Write the monthly report and send it to the client

“Write January's report for example.com against December, save it, and share it with sarah@client.com.”

One call runs the full analysis suite server-side and returns a finished report. The assistant then saves it as a shareable report, adds the client contact and grants them access, and hands you the link. The client signs in with their email to view it - no login of yours is shared.

generate_seo_report create_shared_report create_report_client manage_report_access
Is the growth real?

Separate brand demand from SEO you actually earned

“Are we genuinely growing in search, or is it just brand traffic?”

Splits every query into branded and non-branded using the brand terms saved on the property, then trends both. A quarter that looks strong overall often turns out to be brand demand rising while non-branded is flat - the distinction that decides whether the SEO work is paying off.

get_branded_performance get_position_distribution get_site_summary
Quick wins

Rank the work by what it is worth

“What should I work on next week to get the most clicks for the least effort?”

Scores opportunities across the property, favouring queries sitting just outside the positions that earn clicks, and models the upside from your own CTR at that position wherever the property has enough data, falling back to an industry benchmark only when it does not. Comes back as a ranked shortlist with an estimated click gain per item.

score_opportunities find_page_poaching_opportunities analyze_ctr_curve
Content strategy

See which kind of content actually earns

“Break performance down by content group, and tell me which is growing and which is decaying.”

Content groups are measured across every page of the property, not a capped top-N sample, and topic clusters give you the same view over queries. Pair either with GA4 sessions, conversions and revenue per landing page to answer “should we keep publishing these?” with numbers.

get_content_group_performance get_topic_cluster_performance get_blended_landing_pages get_decay_overview
Migrations

Prove the replatform did not cost you traffic

“We moved to the new domain six weeks ago. Compare before and after, and check the redirects landed.”

Compares the old and new properties over the same window, surfacing per-query and per-page winners and losers rather than a single headline number. Store the redirect map alongside it and inspect the new URLs to confirm Google has actually indexed them.

compare_migration add_migration_redirects bulk_inspect_urls get_indexing_tracker
Indexing

Stop guessing why pages are missing

“Which of the 80 pages we published this quarter are still not indexed, and why?”

Runs Google's own URL Inspection against them in bulk and groups the verdicts - indexed, discovered but not crawled, crawled but not indexed, blocked - so you fix causes instead of resubmitting URLs. Freshly fixed pages can be pushed straight to IndexNow for Bing and Yandex.

bulk_inspect_urls get_indexing_tracker_report submit_indexnow_urls
Agencies

Review a whole portfolio in one prompt

“Across every client tagged ecommerce, who is up and who is down this month?”

Rolls every property in your account into one comparison instead of opening a dashboard per client, with per-site totals, a search-type split and a country leaderboard across the whole portfolio. Tag the properties once and you can slice the roll-up by client, market or brand from then on.

get_cross_site_summary get_tag_group_view list_sites

Every tool listed above is documented, with its arguments, at mcp.gscwizard.com.

More prompts to try

Once it is connected, type these into Claude, ChatGPT or Grok in your own words - it reads from the same properties you already have in GSC Wizard.

"Which pages lost the most clicks in the last 28 days compared to the period before?"

"Where are two of my pages competing for the same query, and which one should I keep?"

"What am I ranking position 5 to 15 for with lots of impressions but a low click rate?"

"Inspect these 20 URLs and tell me which ones are not indexed and why."

"Write a monthly SEO report for this property and compare it to last month."

"Run a full SEO report for my domain."

"Tag every URL under /blog/ as content, then compare how that tag is trending against the rest of the site."

"Break my clicks and impressions down by content group and topic cluster, and tell me which group is growing fastest."

"Run the URL Inspection API on my newest 50 pages and flag which are indexed, discovered but not crawled, or blocked."

"Submit these freshly published URLs to IndexNow so Bing and Yandex crawl them right away."

Tools your assistant can call

The MCP exposes GSC Wizard's analyses as callable tools. Full documentation lives at mcp.gscwizard.com.

Search analytics Top queries & pages Ranking changes Keyword cannibalization Content decay detection Striking distance / page poaching CTR curve analysis Opportunity scoring Bulk URL inspection URL Inspection API Indexing tracker IndexNow submissions Tags & tag groups Content groups & topic clusters Country & device breakdowns Sitemap performance Automated SEO reports Branded vs non-branded split Position distribution Content group & cluster performance Migration compare Shareable client reports GA4 error pages Core Web Vitals (CrUX) Forecasting & anomaly detection Bing Webmaster Tools
Setup

Two minutes to connect

1

Create an API key

Create a key under Account → API keys, or connect with one click in ChatGPT, Claude and Grok using sign-in.

2

Add the connector

Add mcp.gscwizard.com as a connector in your AI assistant.

3

Ask your first question

It reads from the same properties you already have in GSC Wizard - no new permissions to grant.

Works with Claude, ChatGPT, Grok, and any MCP-capable client. Your data stays yours - the MCP only reads the properties already connected to your account. Need the exact steps for your client? See the guides for ChatGPT, Claude, Gemini, Grok, or any MCP client.

Step-by-step guides

How do I connect Search Console to my AI assistant?

One endpoint, one account, every assistant. Pick your client for the exact configuration and the auth mode it expects.

Frequently asked questions

What is a Google Search Console MCP?

An MCP (Model Context Protocol) server is a standard connector that lets an AI assistant such as Claude, ChatGPT or Grok read live data and call tools. A Google Search Console MCP exposes your Search Console properties to the assistant, so it can pull real clicks, impressions, position and CTR figures instead of inventing them.

How is the GSC Wizard MCP different from other Search Console MCPs?

Most Search Console MCPs page through the GSC API one slow batch at a time and dump raw rows into the model's context, which is slow, hits sampling and row limits, and leaves room to hallucinate. The GSC Wizard MCP runs on a ClickHouse backend that queries billions of rows directly and performs the analysis server-side, so it returns finished answers - a full SEO report over a 4 GB dataset in about 4.4 seconds.

Is my Search Console data safe?

Yes. The MCP only reads the properties already connected to your GSC Wizard account. Your data stays yours, and you connect with a one-click sign-in or a revocable API key.

Which AI assistants work with the MCP?

It works with Claude, ChatGPT, Grok, and any MCP-capable client. Add mcp.gscwizard.com as a connector and sign in, or paste an API key created under Account → API keys.

Do I need a subscription?

The fast ClickHouse-backed querying is available to subscribers. For non-subscription users the MCP falls back to the GSC API, which still works but can be slower. See pricing for details.

Plug your real GSC data into your AI assistant

Faster than CSV exports and dashboards, with zero room to hallucinate. Connect the GSC Wizard MCP in about two minutes.

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