Google Search Console MCP Server

A Model Context Protocol (MCP) server providing comprehensive access to Google Search Console data with enhanced analytics capabilities.

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Features

• Enhanced Search Analytics: Retrieve up to 25,000 rows of performance data
• Advanced Filtering: Support for regex patterns and multiple filter operators
• Quick Wins Detection: Automatically identify optimization opportunities
• Rich Dimensions: Query, page, country, device, and search appearance analysis
• Flexible Date Ranges: Customizable reporting periods with historical data access

Prerequisites

• Node.js 18 or later
• Google Cloud Project with Search Console API enabled
• Service Account credentials with Search Console access

Installation

Installing via Smithery

To install Google Search Console for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-gsc --client claude

Manual Installation

npm install mcp-server-gsc

Authentication Setup

To obtain Google Search Console API credentials:

1. Visit the Google Cloud Console
2. Create a new project or select an existing one
3. Enable the API:

• Go to "APIs & Services" > "Library"
• Search for and enable "Search Console API"

4. Create credentials:

• Navigate to "APIs & Services" > "Credentials"
• Click "Create Credentials" > "Service Account"
• Fill in the service account details
• Create a new key in JSON format
• The credentials file (.json) will download automatically

5. Grant access:

• Open Search Console
• Add the service account email (format: name@project.iam.gserviceaccount.com) as a property administrator

Usage

Claude Desktop Configuration

{
  "mcpServers": {
    "gsc": {
      "command": "npx",
      "args": ["-y", "mcp-server-gsc"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json"
      }
    }
  }
}

Available Tools

search_analytics

Get comprehensive search performance data from Google Search Console with enhanced analytics capabilities.

Required Parameters:

• siteUrl: Site URL (format: http://www.example.com/ or sc-domain:example.com)
• startDate: Start date (YYYY-MM-DD)
• endDate: End date (YYYY-MM-DD)

Optional Parameters:

• dimensions: Comma-separated list (query, page, country, device, searchAppearance, date)
• type: Search type (web, image, video, news, discover, googleNews)
• aggregationType: Aggregation method (auto, byNewsShowcasePanel, byProperty, byPage)
• rowLimit: Maximum rows to return (default: 1000, max: 25000)
• dataState: Data freshness (all or final, default: final)

Filter Parameters:

• pageFilter: Filter by page URL (supports regex with regex: prefix)
• queryFilter: Filter by search query (supports regex with regex: prefix)
• countryFilter: Filter by country ISO 3166-1 alpha-3 code (e.g., USA, CHN)
• deviceFilter: Filter by device type (DESKTOP, MOBILE, TABLET)
• searchAppearanceFilter: Filter by search feature (e.g., AMP_BLUE_LINK, AMP_TOP_STORIES)
• filterOperator: Operator for filters (equals, contains, notEquals, notContains, includingRegex, excludingRegex)

Quick Wins Detection:

• detectQuickWins: Enable automatic detection of optimization opportunities (default: false)
• quickWinsConfig: Configuration for quick wins detection:
  • positionRange: Position range to consider (default: [4, 20])
  • minImpressions: Minimum impressions threshold (default: 100)
  • minCtr: Minimum CTR percentage (default: 1)

Example - Basic Query:

{
  "siteUrl": "https://example.com",
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "dimensions": "query,page",
  "rowLimit": 5000
}

Example - Advanced Filtering with Regex:

{
  "siteUrl": "https://example.com",
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "dimensions": "page,query",
  "queryFilter": "regex:(AI|machine learning|ML)",
  "filterOperator": "includingRegex",
  "deviceFilter": "MOBILE",
  "rowLimit": 10000
}

Example - Quick Wins Detection:

{
  "siteUrl": "https://example.com",
  "startDate": "2024-01-01",
  "endDate": "2024-01-31",
  "dimensions": "query,page",
  "detectQuickWins": true,
  "quickWinsConfig": {
    "positionRange": [4, 15],
    "minImpressions": 500,
    "minCtr": 2
  }
}

License

MIT

Contributing

Contributions are welcome! Please read our contributing guidelines before submitting pull requests.