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

$3

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

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

$3


`bash
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

$3

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

Available Tools

$3

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:

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

Example - Advanced Filtering with Regex:

`json
{
"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:

`json
{
"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.