Skip to main content
Glama

Google Search Console MCP Server

by sandriaas

Google Search Console MCP Server

smithery badge

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

Sponsored by

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:

  1. 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

  1. Grant access:

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.

-
security - not tested
F
license - not found
-
quality - not tested

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sandriaas/mcp-server-gsc'

If you have feedback or need assistance with the MCP directory API, please join our Discord server