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, 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.

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, 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

A few things you can ask it

Once it is connected, type these into Claude or ChatGPT 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
Setup

Two minutes to connect

1

Create an API key

Create a key under Account → API keys, or connect with one click in ChatGPT and Claude 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, and any MCP-capable client. Your data stays yours - the MCP only reads the properties already connected to your account.

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 or ChatGPT 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, 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.