Google Search Console MCP Server

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

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:

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

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

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

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.