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seo-mcp

by patchwindow

@patchwindow/seo-mcp

npm version License: MIT Node.js >= 20

MCP server for Google Search Console and Bing Webmaster Tools. Give your AI assistant live access to search performance data, indexing status, keyword research, crawl health, and more — directly in the chat.


Features

  • 10 SEO tools across Google Search Console and Bing Webmaster Tools

  • Keyword research via Bing — search volume and related keywords not available in GSC

  • Traffic drop analysis — automatically compare two periods and surface the biggest drops

  • Striking distance finder — identify queries in positions 4–20 ready for quick ranking gains

  • Brand vs. non-brand split — segment traffic without leaving your AI chat

  • Dual URL inspection — inspect any URL in both Google and Bing simultaneously

  • Simple auth — Bing needs one env var; GSC uses a one-time OAuth2 flow with auto-refreshing tokens

  • Config file defaults — set your site URL once, skip it on every tool call


Installation

Install globally:

npm install -g @patchwindow/seo-mcp

Or run without installing:

npx @patchwindow/seo-mcp

Setup

Bing Webmaster Tools

Bing uses an API key. No OAuth required.

  1. Go to Bing Webmaster Tools

  2. Navigate to Settings → API Access

  3. Generate an API key

  4. Set the environment variable:

export BING_WEBMASTER_API_KEY="your-api-key"

That's it.


Google Search Console

GSC requires OAuth2. Service accounts do not work with the Search Console API — user credentials are required.

Step 1: Create a Google Cloud project

  1. Go to Google Cloud Console

  2. Create a new project (or select an existing one)

  3. Go to APIs & Services → Library

  4. Search for Google Search Console API and enable it

Step 2: Create OAuth2 credentials

  1. Go to APIs & Services → Credentials → Create Credentials → OAuth 2.0 Client ID

  2. Choose Web application as the application type

  3. Under Authorized redirect URIs, add:

    http://localhost:3847/callback
  4. Copy the Client ID and Client Secret

Step 3: Authenticate (one-time)

Set your credentials as environment variables, then run the auth command:

export GSC_CLIENT_ID="your-client-id.apps.googleusercontent.com"
export GSC_CLIENT_SECRET="your-client-secret"

npx @patchwindow/seo-mcp auth gsc

A browser window opens for Google login. After approving, the token is saved to ~/.seo-mcp/gsc-token.json. You only need to do this once — the token refreshes automatically.


Config File (optional)

Create ~/.seo-mcp/config.json to set default site URLs. This lets you skip the site_url parameter on every tool call:

{
  "gsc": {
    "default_site": "sc-domain:example.com"
  },
  "bing": {
    "default_site": "https://example.com/"
  },
  "output": {
    "max_rows": 500
  }
}

GSC site URL format: Use sc-domain:example.com for domain properties or https://example.com/ for URL prefix properties. Check which type you have in Search Console under your property settings.


Claude Desktop Integration

Add the following to your claude_desktop_config.json (typically at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "seo": {
      "command": "npx",
      "args": ["@patchwindow/seo-mcp"],
      "env": {
        "BING_WEBMASTER_API_KEY": "your-bing-api-key",
        "GSC_CLIENT_ID": "your-client-id.apps.googleusercontent.com",
        "GSC_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Cursor / Windsurf (.cursor/mcp.json or mcp.json):

{
  "seo-mcp": {
    "command": "npx",
    "args": ["@patchwindow/seo-mcp"],
    "env": {
      "BING_WEBMASTER_API_KEY": "your-bing-api-key",
      "GSC_CLIENT_ID": "your-client-id.apps.googleusercontent.com",
      "GSC_CLIENT_SECRET": "your-client-secret"
    }
  }
}

Restart your AI client after saving the config.


Tools Reference

* = not required if default_site is set in ~/.seo-mcp/config.json.

Google Search Console

Tool

Description

Required params

Optional params

gsc_search_performance

Clicks, impressions, CTR, and position. Supports grouping by query, page, country, device, or date.

start_date, end_date

site_url*, dimensions, filter_query, filter_page, filter_device, filter_country, row_limit

gsc_striking_distance

Queries in positions 4–20 sorted by impressions — best candidates for quick ranking improvements.

start_date, end_date

site_url*, min_position, max_position, min_impressions, row_limit

gsc_traffic_drop

Compare two date periods and surface pages or queries with the largest click drops.

current_start, current_end, previous_start, previous_end

site_url*, dimension, min_drop_percent, min_clicks_previous, row_limit

gsc_url_inspection

Indexing status, crawl date, canonical URL, page fetch state, rich results, and mobile usability for a specific URL.

url

site_url*

gsc_sitemap_list

All sitemaps submitted to GSC with status, URL counts, indexed counts, and error summary.

site_url*

gsc_brand_nonbrand

Split search traffic into branded and non-branded segments with aggregated clicks, impressions, CTR, and position.

start_date, end_date, brand_terms

site_url*, show_top_queries

Bing Webmaster Tools

Tool

Description

Required params

Optional params

bing_keyword_research

Monthly search volume and related keywords from Bing. This data is exclusive to Bing — not available in GSC.

keyword

site_url*, country, language, include_related

bing_crawl_health

Crawl statistics (total crawled, errors by type: 4xx, timeouts, DNS failures, blocked) and a list of specific crawl issues.

site_url*, show_issues, max_issues

bing_url_inspection

HTTP status, indexing state, crawl date, page title, internal/external link counts, and redirect target for a URL.

url

site_url*

bing_sitemap_list

Sitemaps registered in Bing Webmaster Tools with URL counts, indexed counts, errors, and last crawl time.

site_url*

Parameter details

Parameter

Type

Description

site_url

string

GSC site URL (sc-domain:example.com or https://example.com/)

start_date

string

Start date, YYYY-MM-DD

end_date

string

End date, YYYY-MM-DD

dimensions

array

Group by: query, page, country, device, date. Default: ["query"]

filter_query

string

Filter to queries containing this string

filter_page

string

Filter to this exact page URL

filter_device

string

DESKTOP, MOBILE, or TABLET

filter_country

string

ISO 3166-1 alpha-3 country code, e.g. USA

row_limit

number

Max rows. Default: 100. Max: 25000

Parameter

Type

Description

site_url

string

GSC site URL

start_date

string

Start date, YYYY-MM-DD

end_date

string

End date, YYYY-MM-DD

min_position

number

Min position to include. Default: 4

max_position

number

Max position to include. Default: 20

min_impressions

number

Min impressions to include. Default: 10

row_limit

number

Max results. Default: 50

Parameter

Type

Description

site_url

string

GSC site URL

current_start

string

Current period start, YYYY-MM-DD

current_end

string

Current period end, YYYY-MM-DD

previous_start

string

Previous period start, YYYY-MM-DD

previous_end

string

Previous period end, YYYY-MM-DD

dimension

string

page or query. Default: page

min_drop_percent

number

Minimum drop % to flag. Default: 20

min_clicks_previous

number

Minimum clicks in previous period. Default: 5

row_limit

number

Max results. Default: 25

Parameter

Type

Description

site_url

string

GSC site URL

start_date

string

Start date, YYYY-MM-DD

end_date

string

End date, YYYY-MM-DD

brand_terms

array

Brand terms to match, case-insensitive. E.g. ["acme", "acmecorp"]

show_top_queries

boolean

Include top 10 queries per segment. Default: true

Parameter

Type

Description

keyword

string

The keyword to research

site_url

string

Bing site URL

country

string

Two-letter country code, e.g. US. Default: US

language

string

Language code, e.g. en-US. Default: en-US

include_related

boolean

Include related keywords. Default: true

Parameter

Type

Description

site_url

string

Bing site URL

show_issues

boolean

Include specific crawl issues. Default: true

max_issues

number

Max issues to show. Default: 20


Examples

Ask your AI assistant:

Find quick wins for content optimization:

"Show me my top striking distance queries for the last 90 days. I want queries where I'm ranking between 5 and 15 with at least 50 impressions."

Diagnose a traffic drop:

"Compare my search traffic for April 2025 vs April 2024 by page. Flag anything that dropped more than 30%."

Research a topic before writing:

"Research the keyword 'typescript performance' in Bing. Show me monthly search volume and the top related keywords."

Audit indexing:

"Inspect the URL https://example.com/blog/my-post and tell me its indexing status, canonical URL, and whether it's eligible for rich results."

Understand brand exposure:

"Split my search traffic for Q1 2025 into branded and non-branded. My brand terms are 'acme' and 'acmecorp'. Show me the top 10 queries for each segment."


Roadmap

Planned for v2:

  • gsc_top_pages — top pages by traffic with trend comparison

  • bing_link_counts — inbound link data (not available in GSC API)

  • bing_url_submit — trigger reindexing for new or updated URLs

  • gsc_batch_url_inspection — inspect a list of URLs with rate-limit handling

  • bing_crawl_settings — read and update Bing crawl frequency settings

  • Multi-site support — switch between properties without reconfiguring


Building from Source

git clone https://github.com/patchwindow/seo-mcp
cd seo-mcp
npm install
npm run build

Contributing

Issues and pull requests are welcome. Please open an issue before starting work on a significant change.


License

MIT — Patch Window

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