Google Search Console MCP Server & CLI

A free, open source Google Search Console MCP server and CLI that lets Claude Code, Codex, Cursor and other AI agents read your search traffic, check indexing and submit sitemaps.

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Navid Moazzezby Navid Moazzez·Updated Oct 5, 2026·13 min read·
MCPCLI
Your computer
macOSWindowsLinux
  1. 1

    Sign in once in a terminal, with your OAuth client's ID and secret.

    A browser opens for you to pick your Google account. The token is saved on this computer, so your app's config needs nothing else.

    export GSC_CLIENT_ID=your-client-id
    export GSC_CLIENT_SECRET=your-client-secret
    npx -y @thenavidm/google-search-console-mcp-cli@latest login
  2. 2

    Add it with a single command in a terminal.

    claude mcp add google-search-console \
      -- npx -y @thenavidm/google-search-console-mcp-cli@latest
  3. 3

    In Claude Code, type /mcp. Google Search Console should show as connected.

    /mcp

Needs Node 22 or newer and a Google OAuth client from your own Cloud project. Set it up in about 5 minutes.

It's free and open source. If it saves you time, star it on GitHub, so more people find it.

Rate this tool

This free Google Search Console MCP server and CLI gives your AI real access to Google Search Console: the queries, pages, rankings, indexing and sitemaps Google recorded for your sites. It compares periods, finds pages close to page one, inspects why a URL isn't indexed, and submits sitemaps.

It's one install with two ways in. Claude, Codex, Cursor or any other MCP app calls its 19 tools for you, and the same tools work as a CLI that agents like Claude Code, Codex and OpenCode run, or that you type yourself.

In this guide, I'll show you:

  • What the Google Search Console MCP server & CLI is, and what you can ask it
  • How to install it and check that it works
  • When to use the MCP server, and when the CLI
  • Every tool, and how to keep your account safe

Every tool on this page comes from the server itself, and every cost was measured in Claude Code.

key_takeaways.mdTL;DR

Key takeaways

It gives your AI 19 tools for the queries, pages, rankings, indexing and sitemaps Google recorded for your sites.
It compares periods, finds pages close to page one, and inspects why a URL isn't indexed.
Deleting a property or a sitemap waits for your approval, and read-only mode hides every write.
The same tools run as a CLI, which costs your AI nothing until it runs.

What is the Google Search Console MCP server & CLI?

The Google Search Console MCP server & CLI is a free, open source program that lets AI agents read your search traffic and manage your Search Console properties for you, in two ways. The MCP server is what an AI app like Claude, Codex or Cursor connects to, through MCP (Model Context Protocol), the open standard AI apps use to call outside tools.

You ask in plain language. Your AI picks the right tool, and the server makes the call to Google's Search Console API.

The CLI is the same program as commands. google-search-console-cli top-queries --site sc-domain:example.com runs the same code your AI runs when you ask for your top queries, whether an agent like Claude Code runs it or you do.

In an AI OS, the layer that connects your AI to your context, your data and your tools, a server like this is how your AI reaches Google Search Console. I explain how the parts fit together in how to build an AI operating system, and here's how I use AI myself.

What can you ask it?

Once it's set up, you ask the way you'd ask an assistant. These are real prompts it handles:

Try asking
Which queries lost the most clicks this month compared to last?
Show me pages ranking between 5 and 20. Which are closest to page one?
Why is this URL not showing up in Google?
Is Google still reading my sitemap?
We just launched 30 pages. Check which ones are indexed.
Which of my pages get impressions but almost no clicks?

The first one shows why this is useful. Search Console's own screens make you export two reports and join them in a spreadsheet to answer it, and here it's one call with the changes already worked out.

It works well next to my WordPress MCP server and Cloudflare MCP server, so your AI can update the pages it flags and check your domain's DNS and cache in the same chat. Every server I've made is on my MCP servers page.

For the rest of your SEO, my free title and meta description checker and SERP simulator help too.

How to install the Google Search Console MCP server

Pick your app in the box at the top of this page. Each one is a single command or a pasted block, after you sign in once with your own Google OAuth client.

Windsurf, Zed and Cline take the same server, though they don't have a tab in the box yet. Follow the box's Cursor tab, and put its block here instead:

AppWhere the block goes
WindsurfIn the Cascade panel, open the Actions menu (…) and choose Open MCP config file, then paste the block.
ClineClick the MCP Servers icon in the Cline panel, open the Configure tab, click Configure MCP Servers, and paste the block.
ZedGo to Settings, then AI, then MCP Servers, and choose Add Server, then Add Local Server. Enter the block's command, arguments and variables, and Zed saves them under context_servers.
Before you start0/4

Watch out: While your OAuth app's publishing status is Testing, Google expires the refresh token after 7 days, and everything stops a week later. Click Publish app on the Audience page while you set it up.

Set up Google Search Console

Google only gives Search Console access through a Google Cloud project, so there is a real setup here. It takes about 5 minutes, once.

Create your OAuth client0/3
Sign in once0/3

The refresh token is saved to ~/.google-search-console-mcp/tokens.json, and every app on this computer uses it from then on. For a server with no browser, a service account key in GSC_SERVICE_ACCOUNT_KEY works instead. The full walkthrough is in the repo's INSTALL.md.

Check that it works

Run the doctor. It checks which credential is in use, whether a token can be minted, and how many properties that account reaches.

npx -y @thenavidm/google-search-console-mcp-cli doctor

Zero properties means you signed in with the wrong Google account. A refresh failure a week after setup means the OAuth app is still in Testing.

In Claude Code, /mcp also shows whether the Google Search Console server is connected. It's one of the Claude Code commands worth knowing.

Use the Google Search Console CLI

The CLI is the same 19 tools as commands. AI agents that run commands, like Claude Code, Codex and OpenCode, use it on their own, and you can type the same commands in a terminal or a script.

Every tool name becomes a command with dashes, so striking_distance runs as google-search-console-cli striking-distance.

npm install -g @thenavidm/google-search-console-mcp-cli
google-search-console-cli
google-search-console-cli list-sites
google-search-console-cli top-queries --site sc-domain:example.com --limit 10
google-search-console-cli compare-periods --site sc-domain:example.com

The bare google-search-console-cli lists every command, google-search-console-cli which <words> finds the command for a task, and google-search-console-cli <command> --help shows what a command takes. Deleting a property or a sitemap needs --confirm, the terminal's version of your approval.

google-search-console-cli install <app> adds the server to Claude Code, Codex, Claude Desktop, Cursor, VS Code or Gemini CLI, in each app's own format.

These are the flags you'll use most:

FlagWhat it does
--jsonPrints JSON
--compactPrints the JSON on one line
--select a,b.cKeeps only those fields, and a dotted path goes deeper
--agentMachine mode: compact JSON, no prompts, and it never confirms anything
--confirmLets a write that asks first go ahead
--dry-runShows what a write would do, without doing it

A script can branch on the exit code:

Exit codeWhat it means
0It worked
1Something unexpected went wrong
2The command was typed wrong, or a write needed --confirm
3It wasn't found
4Google Search Console rejected the credentials
5Google Search Console failed or couldn't be reached
7You hit a rate limit, so wait and try again
10Nothing is set up yet

MCP server or CLI: which one?

Both are the same program with the same 19 tools. The difference is when your AI pays for them, in the tokens it reads.

Every message, in an app that loads every tool
MCP server
8,700 tokens
CLI
Nothing
Every message, in Claude Code
MCP server
840 tokens
CLI
Nothing
When Google Search Console comes up
MCP server
Nothing more, or in Claude Code the tools it picks
CLI
3,100 tokens, once
20 messages with Google Search Console in one, every tool loaded
MCP server
174,000 tokens
CLI
3,100 tokens
Works in Claude Desktop's chat
MCP server
Yes
CLI
No, there's no terminal there
Works in a script, a cron job or CI
MCP server
No
CLI
Yes

An app that loads every tool up front sends the full list with every message, whether you mention Google Search Console or not. Claude Code doesn't by default: its tool search sends only the tool names and the server's instructions, and loads a tool's full definition when your AI reaches for it.

The CLI costs nothing until Google Search Console comes up. Then your agent reads its skill file once and runs the commands it needs. With the skill added, Claude Code also lists its one-line description with every message, about 190 tokens.

When the whole conversation is about Google Search Console, the gap closes. Then the MCP server is the better experience, because you ask in plain language and your AI never has to look up a command.

How to spend less

In Claude Code, leave tool search on, which it is unless you've set ENABLE_TOOL_SEARCH=false.

Turn the server off when you aren't using it, with your AI app's own switch. GSC_READ_ONLY=1 also takes the 5 write tools off the list.

Or install the CLI and connect the server later, on the days it earns its place. Every tool stays in reach, and the standing cost drops to nothing.

Every number here was measured on October 5, 2026 in Claude Code 2.1.286 with Claude Opus 5.5. It's the same one-line prompt with and without the server connected, once with tool search off so every tool loads, and once with Claude Code's default. The skill was measured the same way, and other apps and models count tokens a little differently.

What Search Console actually does

A few things cost people an afternoon, and the tools are built around them.

The data runs 2 to 3 days behind

A window that ends today looks empty or partial for its last few days. Every tool with a default window ends 3 days back and says which dates it used.

Queries never add up to the site total

Google holds back rare queries to protect the people who typed them, so a per-query report always shows fewer clicks than the property total. That gap is hidden traffic, not missing traffic.

A property isn't a website

https://example.com/ and sc-domain:example.com are different properties with different data. Passing the wrong one returns "User does not have sufficient permission", so copy the exact string from list_sites.

Lower position is better

Average position is a rank, so moving from 8 to 5 is an improvement. compare_periods signs its position change so that positive always means better.

There's no "request indexing" button in the API

Google offers none. Resubmitting a sitemap is the only recrawl signal an API can send, which is what submit_sitemap is for.

Quotas are per property

Search analytics allows roughly 1,200 queries a minute. URL inspection allows about 2,000 a day and 600 a minute, so inspect_urls paces itself.

Every Google Search Console tool

The tables below list all 19 tools, grouped the way the repo groups them. Of these, 14 only read, and five change something in Search Console.

Search analytics

query_search_analytics
What it does
The core report: clicks, impressions, CTR and average position from Google Search, grouped by any combination of query, page, country, device, searchAppearance, date or hour.
Kind
Reads
top_queries
What it does
The search queries bringing the most clicks to a property, with impressions, CTR and average position.
Kind
Reads
top_pages
What it does
The pages on a property earning the most clicks from Google Search, with impressions, CTR and average position.
Kind
Reads
compare_periods
What it does
Two equal windows side by side with the deltas already computed: what went up, what fell, per query, page, country or device.
Kind
Reads
striking_distance
What it does
Queries a property already ranks for on the edge of page one, between positions 5 and 20 by default, ordered by the impressions being left on the table.
Kind
Reads

URL inspection

inspect_url
What it does
Ask Google what it actually knows about one URL: whether it is indexed, which sitemap it was found in, the canonical Google picked against the one the page declares, the last crawl, mobile usability, rich results and any AMP version.
Kind
Reads
inspect_urls
What it does
Inspect several URLs on the same property in one call and get a compact table back: indexed or not, the canonical Google chose, and the last crawl.
Kind
Reads

Sitemaps

list_sitemaps
What it does
Every sitemap submitted for a property, with when Google last downloaded each one, how many URLs it holds per content type, and any warnings or errors.
Kind
Reads
get_sitemap
What it does
Details for one submitted sitemap: last download, last submitted, URL counts per type, and whether it is pending or errored.
Kind
Reads
submit_sitemap
What it does
Submit or resubmit a sitemap.
Kind
Writes
delete_sitemap
What it does
Stop tracking a sitemap on a property.
Kind
Asks first

Properties and accounts

list_accounts
What it does
List the Google accounts this server can act as, and which one is used when a tool call does not name one.
Kind
Reads
list_sites
What it does
Every Search Console property this Google account can reach, with the permission level on each: siteOwner, siteFullUser, siteRestrictedUser or siteUnverifiedUser.
Kind
Reads
get_site
What it does
One property and the permission level this account holds on it.
Kind
Reads
add_site
What it does
Register a property in Search Console.
Kind
Writes
delete_site
What it does
Remove a property from this Google account's Search Console.
Kind
Asks first

Verification

get_verification_token
What it does
Mint the token that proves ownership of a site or domain, so a new property can be verified without opening the Search Console UI.
Kind
Reads
verify_site
What it does
Claim ownership once the token from get_verification_token is live.
Kind
Writes
list_verified_sites
What it does
Every site and domain this Google account has verified ownership of, across all Google products.
Kind
Reads

Is the Google Search Console MCP server safe?

Writes work from the start, because submitting a sitemap is the point of the tool. Adding a property and submitting a sitemap are easy to undo, so they don't ask.

delete_site and delete_sitemap can't be undone, so both ask first, marked "Asks first" in the tool tables above.

When your AI calls one of them, the call needs a yes first. Where you use it decides who gives it:

  • Claude Code (2.1.246 and later) asks you before every call, in every one of its permission modes.
  • An app that can show forms asks you in a form.
  • Any other app takes your AI's confirm: true as the yes, so tell your AI to check with you first.
  • An agent with no person to ask needs GSC_CONFIRM=model, so its confirm: true counts in every app.
  • In a terminal, you add --confirm to the command.

If the answer is no, nothing reaches Google Search Console.

Make it read-only

Set GSC_READ_ONLY=1 and every write disappears from the tool list, leaving 14 reading tools. GSC_ALLOW_DESTRUCTIVE=0 keeps the sitemap and property writes and drops the two deletes.

Keep a log of every write

Set GSC_AUDIT_LOG to a file path. The server writes one line per attempted write, allowed or blocked, with what it was about to do and who approved it.

Watch out: A search query is whatever a stranger typed into Google, and a page read through URL inspection says whatever that page says. The server marks that text as data, but for an agent working on its own, GSC_READ_ONLY=1 is the real defense.

Your data

There's no server of ours in between. Requests go straight from your computer to Google, and Search Console data is read on demand and never saved to disk.

The refresh token lives in ~/.google-search-console-mcp/tokens.json, readable only by you. logout deletes it, and myaccount.google.com/permissions revokes Google's side, which is the half that matters.

Google Search Console MCP server settings

Every setting is an environment variable in your app's config or your shell. After login, none of them are required.

GSC_CLIENT_ID
Default
none
What it does
Holds your OAuth client's ID, used by login
GSC_CLIENT_SECRET
Default
none
What it does
Holds your OAuth client's secret, used by login
GSC_SERVICE_ACCOUNT_KEY
Default
none
What it does
Points at a service account key, for a server with no browser
GSC_ACCESS_TOKEN
Default
none
What it does
Uses a token made elsewhere, which is never refreshed
GSC_TOKEN_STORE
Default
~/.google-search-console-mcp/tokens.json
What it does
Moves the token file
GSC_READ_ONLY
Default
off
What it does
1 hides every write
GSC_ALLOW_DESTRUCTIVE
Default
on
What it does
0 drops the two deletes and keeps the other writes
GSC_AUDIT_LOG
Default
off
What it does
Logs every attempted write to a file
GSC_SERVICE_ACCOUNT_KEY_JSON
Default
none
What it does
The same key inline, raw or base64
GSC_SCOPES
Default
webmasters and siteverification
What it does
The scopes login asks for
GSC_SURFACE
Default
full
What it does
search lists three tools that find, describe and run the rest
GSC_TOOL_TIMEOUT_MS
Default
none
What it does
Gives up on any tool after this many milliseconds
GSC_CONFIRM
Default
human
What it does
model lets your AI's confirm: true approve on its own, for an agent with no person to ask
GSC_HTTP_PORT
Default
8000
What it does
Sets the port for --http
GSC_HTTP_HOST
Default
127.0.0.1
What it does
Sets the address for --http, and any other needs a token
GSC_HTTP_TOKEN
Default
none
What it does
Sets the bearer token every --http request needs
GSC_HTTP_ALLOWED_ORIGINS
Default
none
What it does
Lists other websites allowed to call --http, comma separated
GSC_DEBUG
Default
off
What it does
1 prints debug lines

Troubleshooting

Run the doctor first. It names the step that failed and the fix.

What you seeWhat to do
Everything stopped a week after setupThe OAuth app is still in Testing. Publish it and run login again
"User does not have sufficient permission"It's the wrong property string. Copy one from list_sites
The doctor says 0 propertiesYou signed in with a Google account that owns none
"Search Console API has not been used in project"Turn the API on in your Google Cloud project
The last few days are emptyThe data runs 2 to 3 days behind
Fewer clicks per query than the site totalThat's expected, because Google holds back rare queries

If the server doesn't show up in your app at all, run the command your app runs, in a terminal, and read the error.

FAQs about the Google Search Console MCP server & CLI

Here are the questions people ask most about the Google Search Console MCP server and CLI.

The Google Search Console MCP server & CLI is a free, open source program that lets an AI app like Claude, Codex or Cursor read your search traffic and manage your Search Console properties.

It has 19 tools for search analytics, URL inspection, sitemaps and property verification, and the same tools run as a CLI that agents like Claude Code and Codex use, or that you type yourself.

An MCP server is a standard way to give an AI app real access to a tool, so it can act instead of guessing.

MCP stands for Model Context Protocol, and Claude, Codex, Cursor and many other AI apps speak it.

Every server I've made is on my MCP servers page.

The Google Search Console CLI is the same program as the Google Search Console MCP server, run as commands.

AI agents like Claude Code, Codex and OpenCode run them for you, and you can type them in a terminal or a script.

One npm package installs both.

Use the Google Search Console MCP server in an AI app with no terminal, like Claude Desktop's chat, and the CLI in a terminal, a script or a cron job.

In an AI app that can run commands, like Claude Code, Codex or Cursor, the CLI is the lighter choice, because it costs nothing until it runs.

Yes, the Google Search Console MCP server is free and open source under the MIT license, and Google's API costs nothing at the volume a person uses.

The only thing you pay for is your own AI app.

Google only gives Search Console access through an OAuth client in a Google Cloud project.

It takes about 5 minutes once, and the client is yours, so no third party ever holds your access.

Your OAuth app is still in Testing, and Google expires Testing refresh tokens after 7 days.

Publish the app on its Audience page and run login again.

No, because Google offers no API for it.

Resubmitting a sitemap with submit_sitemap is the only recrawl signal an API can send.

Yes, run login once for each account.

Every tool takes an optional account, and list_accounts shows which ones are signed in.

The Google Search Console MCP server works with any app that speaks MCP.

That includes Claude Code, Claude Desktop, Codex, Cursor, VS Code, Windsurf, Zed, Cline, GitHub Copilot CLI, Gemini CLI, OpenCode, OpenClaw, Antigravity and Hermes.

I did.

I'm Navid Moazzez, and I made the Google Search Console MCP server & CLI as one of my free tools on navid.me.

You can read more about me.

The code is on GitHub under the MIT license, and the package is on npm.

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Navid Moazzez

AI business strategist & AI OS builder

Navid Moazzez helps creators and founders master AI and build their own AI Operating System (AI OS) to automate their business and life.

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