seo-mcp

seo-mcp

MCP server that gives AI assistants live access to Google Search Console and Bing Webmaster Tools for search performance, indexing, keyword research, and crawl health analysis directly in the chat.

Category
Visit Server

README

@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

<details> <summary>gsc_search_performance</summary>

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

</details>

<details> <summary>gsc_striking_distance</summary>

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

</details>

<details> <summary>gsc_traffic_drop</summary>

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

</details>

<details> <summary>gsc_brand_nonbrand</summary>

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

</details>

<details> <summary>bing_keyword_research</summary>

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

</details>

<details> <summary>bing_crawl_health</summary>

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

</details>


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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured