Google Search Console
A Model Context Protocol (MCP) server providing access to Google Search Console.
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
Sponsored by
macuse.app is a native macOS application that gives your AI superpowers by integrating AI assistants with macOS apps like Calendar, Mail, and Notes, plus universal UI control for any application. Supports Claude Desktop, Cursor, and Raycast with one-click setup. Privacy-first, runs locally.
Prerequisites
- Node.js 18 or later
- Google Cloud Project with Search Console API enabled
- Service Account credentials with Search Console access
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: [email protected]) 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/orsc-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 (allorfinal, default:final)
Filter Parameters:
pageFilter: Filter by page URL (supports regex withregex:prefix)queryFilter: Filter by search query (supports regex withregex: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.
Servidores relacionados
Ticketmaster
Discover events, venues, and attractions using the Ticketmaster Discovery API.
Serper MCP Server
Access Google Search results using the Serper API.
Secondhand MCP
Connects AI to Facebook Marketplace, Ebay, Poshmark, and Depop to find you the best deals
wellread
A shared knowledge base for AI agents
Polymarket Trading MCP
Trading intelligence tools for Polymarket prediction markets: Slippage estimation, liquidity scanning, arbitrage detection, price feeds, wallet intelligence, and portfolio risk.
arXiv Search
A server for searching academic papers and preprints on arXiv.org.
Simple arXiv
Search and retrieve academic papers from the arXiv repository via its API.
VelociRAG
Lightning-fast RAG for AI agents. 4-layer fusion (vector, BM25, graph, metadata), ONNX Runtime, sub-200ms search, no PyTorch.
Mevzuat MCP
Provides programmatic access to the Turkish Ministry of Justice Legislation Information System (mevzuat.gov.tr) for searching and retrieving legal texts.
Google Search
An MCP (Model Context Protocol) server that gives AI assistants real-time news fetching, search, NLP analysis, and personalized news preferences — all accessible through natural language.