A Model Context Protocol (MCP) server providing access to Google Search Console
What is ahonn mcp server gsc
Google Search Console MCP Server
A Model Context Protocol (MCP) server providing access to Google Search Console.
Features
- Search analytics data retrieval with dimensions support
- Rich data analysis with customizable reporting periods
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: [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 search performance data from Google Search Console with customizable parameters:
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
)type
: Search type (web
,image
,video
,news
)aggregationType
: Aggregation method (auto
,byNewsShowcasePanel
,byProperty
,byPage
)rowLimit
: Maximum rows to return (default: 1000)
Example:
{
"siteUrl": "https://example.com",
"startDate": "2024-01-01",
"endDate": "2024-01-31",
"dimensions": "query,country",
"type": "web",
"rowLimit": 500
}
License
MIT
Contributing
Contributions are welcome! Please read our contributing guidelines before submitting pull requests.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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