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google-search-console-mcp

Read-only Google Search Console MCP for AI SEO analysis: search analytics, URL inspection, sitemaps.

Install / Use

claude mcp add sarahpark -- npx -y github:sarahpark/google-search-console-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

73/100

Supported Platforms

Claude Code
Claude Desktop
OpenAI Codex

Tags

Our assessment of google-search-console-mcp

google-search-console-mcp scores 73/100 on our quality scale, 539th of 587 Data & Analytics skills we index.

Its MCP Server is 11 KB long, well organised into 11 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 16 days ago, so google-search-console-mcp is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 97/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

google-search-console-mcp compared with similar skills

All 4 of these similar skills score higher than google-search-console-mcp; compare them before choosing.

SkillScoreStarsUpdatedFormat
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Scraplingby D4Vinci10085.9k1d agoMCP Server

Frequently asked questions

How do I install google-search-console-mcp?
Run claude mcp add sarahpark -- npx -y github:sarahpark/google-search-console-mcp. The install tabs above show the steps for each supported agent.
Which AI agents does google-search-console-mcp work with?
It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
Is google-search-console-mcp safe to use?
It is MIT-licensed and scores 97/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is google-search-console-mcp still maintained?
The repository was last updated 16 days ago, so google-search-console-mcp is actively maintained.

Google Search Console MCP Server

A minimal MCP server for Google Search Console.

Give Codex, Claude Code, or Claude Desktop read-only access to your search analytics, URL indexing information, and sitemap status. Runs locally; cannot change your site or Search Console settings.

Once connected, ask your agent:

  • "Which queries had the most impressions but few clicks over the last 28 days?"
  • "Compare mobile vs desktop search performance this month."
  • "Check the indexing status of https://example.com/blog/my-post."

Setup · Tools · Limitations · Troubleshooting

Setup

You need Node.js and npm, an MCP client, and access to a Search Console property. To sign in as yourself, also install the Google Cloud CLI. Server startup and tool discovery were checked with Node.js 22.

1. Enable the Google API

Create or select a project in Google Cloud Console, then enable the Search Console API. Note the project ID for the next step.

2. Authenticate

Recommended for new users: sign in as yourself. Application Default Credentials (ADC) use your existing Search Console permissions, so you don't need to add another user to your properties.

Run both commands, replacing YOUR_PROJECT_ID with the project you enabled above:

gcloud auth application-default login \
  --scopes=https://www.googleapis.com/auth/webmasters.readonly,https://www.googleapis.com/auth/cloud-platform
gcloud auth application-default set-quota-project YOUR_PROJECT_ID

The quota project is required. For permission or scope errors, see troubleshooting.

<details> <summary>Alternative: use a service account key</summary>
  1. In Google Cloud Console, go to APIs & Services → Credentials → Create Credentials → Service account. Name it and finish creation; you can skip the optional role/access steps.
  2. Open the service account, then Keys → Add Key → Create new key → JSON to download a key.
  3. In Search Console, open each property's Settings → Users and permissions → Add user. Add the service account email with Restricted access.

[!CAUTION] Store the key outside your repo and never commit it. Use its absolute path in your client's configuration below.

If Search Console rejects the email with "Failed to add user: email not found," sign in as yourself instead; see troubleshooting.

The server checks GOOGLE_APPLICATION_CREDENTIALS before local ADC. If switching to ADC, remove an old key-path setting from your client configuration and environment.

</details>

3. Install the server

The npx commands in the next step download and run version 1.1.0 for you. Both authentication methods work with the npm package; no clone or build is required.

<details> <summary>Optional: build from source</summary>
git clone https://github.com/sarahpark/google-search-console-mcp.git
cd google-search-console-mcp
npm install
npm run build

In the client commands below, replace npx -y @sarahpark/google-search-console-mcp@1.1.0 with node "/absolute/path/to/google-search-console-mcp/build/index.js". In Claude Desktop, set command to node and args to an array containing that absolute path. Run npm test for offline authentication checks.

</details> <details> <summary>Let Codex or Claude Code handle installation and configuration</summary>

After completing authentication, paste this into your agent:

Add npx -y @sarahpark/google-search-console-mcp@1.1.0 as gsc in this client's user-level MCP config, preserving existing servers. Use my local Application Default Credentials. Tell me when setup is complete and whether I need to restart the client.

For a service account, replace "Use my local Application Default Credentials" with "Set GOOGLE_APPLICATION_CREDENTIALS to /path/to/service-account-key.json" and use your actual file location.

Once configured, skip to step 5.

</details>

4. Connect your client

Choose your client and run the command for your authentication method. Replace placeholder paths with your actual absolute paths; keep quotes around paths containing spaces. Preserve any existing server entries.

<details> <summary>Codex</summary>

Sign in as yourself (ADC):

codex mcp add gsc -- npx -y @sarahpark/google-search-console-mcp@1.1.0

npm package with a service account:

codex mcp add gsc \
  --env "GOOGLE_APPLICATION_CREDENTIALS=/absolute/path/to/service-account-key.json" \
  -- npx -y @sarahpark/google-search-console-mcp@1.1.0

For manual configuration in ~/.codex/config.toml, see the Codex MCP documentation.

</details> <details> <summary>Claude Code</summary>

Sign in as yourself (ADC):

claude mcp add gsc --scope user -- npx -y @sarahpark/google-search-console-mcp@1.1.0

npm package with a service account:

claude mcp add gsc --scope user \
  --env "GOOGLE_APPLICATION_CREDENTIALS=/absolute/path/to/service-account-key.json" \
  -- npx -y @sarahpark/google-search-console-mcp@1.1.0

--scope user makes the server available across your projects. Use --scope project to share configuration through the project's .mcp.json instead.

</details> <details> <summary>Claude Desktop</summary>

Add the appropriate entry to claude_desktop_config.json, merging it into any existing mcpServers object.

Sign in as yourself (ADC):

{
  "mcpServers": {
    "gsc": {
      "command": "npx",
      "args": ["-y", "@sarahpark/google-search-console-mcp@1.1.0"]
    }
  }
}

npm package with a service account:

{
  "mcpServers": {
    "gsc": {
      "command": "npx",
      "args": ["-y", "@sarahpark/google-search-console-mcp@1.1.0"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/absolute/path/to/service-account-key.json"
      }
    }
  }
}
</details>

5. Verify the connection

Restart your client or start a new session, then ask:

Use the gsc MCP server to list my Search Console properties.

A successful list_sites call verifies both the connection and Google access. Use the exact property URL it returns in later requests, such as sc-domain:example.com or https://example.com/.

Tools

<details> <summary>List your properties — <code>list_sites</code></summary>

List all sites (properties) you have access to in Google Search Console.

No parameters required.

</details> <details> <summary>Query search performance — <code>search_analytics</code></summary>

Query search analytics data — clicks, impressions, CTR, and position.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | siteUrl | string | Yes | Site URL as it appears in Search Console (e.g. https://example.com/ or sc-domain:example.com) | | startDate | string | Yes | Start date in YYYY-MM-DD format | | endDate | string | Yes | End date in YYYY-MM-DD format | | dimensions | string | No | Comma-separated: query, page, country, device, searchAppearance, date | | rowLimit | number | No | Max rows to return (default 100, max 25000) | | searchType | string | No | web, image, video, news, discover, or googleNews (default web) | | queryFilter | string | No | Filter by query. Prefix with regex: for regex matching | | pageFilter | string | No | Filter by page URL. Prefix with regex: for regex matching | | countryFilter | string | No | ISO 3166-1 alpha-3 country code (e.g. USA, GBR) | | deviceFilter | string | No | DESKTOP, MOBILE, or TABLET |

</details> <details> <summary>Inspect a URL — <code>inspect_url</code></summary>

Check indexing status, crawl info, and mobile usability for a URL.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | siteUrl | string | Yes | Site URL as it appears in Search Console | | inspectionUrl | string | Yes | The full URL to inspect (must belong to the site) |

</details> <details> <summary>Check sitemap status — <code>list_sitemaps</code></summary>

List all submitted sitemaps and their status for a site.

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | siteUrl | string | Yes | Site URL as it appears in Search Console |

</details>

Limitations

  • Search analytics returns at most 25,000 rows per call, without pagination. Results may omit pages or queries, and recent data may be incomplete.
  • URL inspection checks one URL at a time; it does not export a site's full indexing coverage report.
  • Your agent performs comparisons and opportunity analysis using the returned data. This is a local STDIO server, not a hosted ChatGPT web integration.

License

MIT

Troubleshooting

<details> <summary>403 error: missing quota project or permission</summary>

If the error says the API "requires a quota project," rerun:

gcloud auth application-default set-quota-project YOUR_PROJECT_ID

Your account needs serviceusage.services.use on that project. If permission is denied, ask a project administrator to grant it or use a project where you have it, with the Search Console API enabled.

Login attempts to attach your configured project automatically but can skip it when you lack permission. Setting it explicitly makes that failure visible. The cloud-platform scope in the setup command allows the quota project to be attached.

</details> <details> <summary>gcloud won't grant the Search Console scope</summary>

The built-in gcloud client was confirmed to grant webmasters.readonly with Google Cloud SDK 557.0.0. If it doesn't work in your version, follow the gcloud guidance for additional scopes to create your own OAuth client, then sign in with its downloaded client file:

gcloud auth application-default login \
  --client-id-file=client_id.json \
  --scopes=https://www.googleapis.com/auth/webmasters.readonly,https://www.googleapis.com/auth/cloud-platform
gcloud auth application-default set-quota-project YOUR_PROJECT_ID

Keep credential files outside your repo.

</details> <details> <summary>Search Console says "Failed to add user: email not found"</summary>

This has been reported when adding newly created service accounts and motivated the ADC option. Sign in as yourself, or use an existing service account that already has access to the property.

</details> <details> <summary>Missing credentials or no properties returned</summary>
  • Using npm 1.0.1 or earlier: update your client command to version 1.1.0 or later to use local gcloud ADC.
  • Using ADC: ensure an old GOOGLE_APPLICATION_CREDENTIALS setting isn't overriding your login. The signed-in Google account must have access to the property.
  • Using a service account: set GOOGLE_APPLICATION_CREDENTIALS to the key's absolute path and confirm its email was added to each property you want to read.
</details>

Related Skills

View on GitHub
GitHub Stars10
CategoryData
Updated16d ago
Forks3

Languages

TypeScript

Trust signals

97/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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