Google Search Console MCP server

Analyze SEO metrics and search performance data.
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Provider
Ahonn Jiang
Release date
Dec 04, 2024
Language
TypeScript
Package
Stats
875 downloads
23 stars

This MCP server provides access to Google Search Console data through the Model Context Protocol, allowing you to fetch and analyze search analytics data with customizable parameters and 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:

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:
    • 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: [email protected]) as a property administrator

Usage

Claude Desktop Configuration

Configure the MCP server in your Claude Desktop configuration file:

{
  "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/ 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)
  • 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
}

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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