Skip to main content
Glama
GuodongDai2113

GSC MCP Server

GSC MCP Server

Google Search Console MCP Server — a TypeScript Model Context Protocol server that provides tools for interacting with the Google Search Console API through AI assistants like Claude Desktop.

This is a TypeScript port of the mcp-gsc Python server, fully compatible with the MCP specification.

Features

  • 19 MCP Tools covering all aspects of Google Search Console

  • Service Account authentication — no browser OAuth flow required

  • Cross-platform — Windows, macOS, Linux

  • STDIO transport support

  • Zero-config defaults — automatically picks up the service account JSON from the key folder

  • Safety-first — destructive operations disabled by default

Related MCP server: gsc-mcp

Tools Overview

Category

Tool

Description

Properties

list_properties

List all GSC sites you have access to

get_site_details

Get verification and ownership info for a site

add_site

Add a new property (destructive — disabled by default)

delete_site

Remove a property (destructive — disabled by default)

Analytics

get_search_analytics

Top queries/pages with clicks, impressions, CTR, position

get_performance_overview

Summary + daily trend for a time period

compare_search_periods

Compare performance between two date ranges

get_search_by_page_query

Queries driving traffic to a specific page

get_advanced_search_analytics

Advanced filtering, pagination, and explicit current-page sorting

URL Inspection

inspect_url_enhanced

Detailed crawl/index/rich-result status for a URL

batch_url_inspection

Inspect up to 10 URLs at once

check_indexing_issues

Check multiple URLs for indexing problems

Sitemaps

get_sitemaps

List all sitemaps for a site

list_sitemaps_enhanced

Detailed sitemap info with errors and warnings

get_sitemap_details

Detailed info for a specific sitemap

submit_sitemap

Submit or resubmit a sitemap

delete_sitemap

Remove a sitemap (destructive — disabled by default)

manage_sitemaps

All-in-one: list, details, submit, delete

Info

get_capabilities

List all tools, auth status, and getting started guide

Prerequisites

  • Node.js 18+ (LTS recommended)

  • A Google Cloud project with the Search Console API enabled

  • A service account with access to your GSC properties (see below)

Installation

# Clone the repository
git clone <repo-url> gsc-mcp
cd gsc-mcp

# Install dependencies
npm install

# Build
npm run build

Authentication Setup

This server uses Service Account authentication only.

  1. Create a service account in your Google Cloud project

  2. Download the JSON key file

  3. Add the service account email as a user in GSC for each property

Place the key file in the key folder of the project (the server will automatically pick the first JSON file there), or set the environment variable:

# Windows (PowerShell)
$env:GSC_CREDENTIALS_PATH = "C:\path\to\service_account_credentials.json"

# macOS / Linux
export GSC_CREDENTIALS_PATH="/path/to/service_account_credentials.json"

Credential lookup priority:

  1. GSC_CREDENTIALS_PATH environment variable (absolute path)

  2. The first JSON file in the key folder (default)

  3. service_account_credentials.json in the script directory / current directory

Claude Desktop Configuration

Edit claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "gsc": {
      "command": "node",
      "args": [
        "C:\\path\\to\\gsc-mcp\\build\\index.js"
      ],
      "env": {}
    }
  }
}

If you are not using the key folder, set GSC_CREDENTIALS_PATH in env:

{
  "mcpServers": {
    "gsc": {
      "command": "node",
      "args": ["C:\\path\\to\\gsc-mcp\\build\\index.js"],
      "env": {
        "GSC_CREDENTIALS_PATH": "C:\\path\\to\\service_account_credentials.json"
      }
    }
  }
}

For macOS/Linux, use forward slashes and the export-style environment configuration.

Restart Claude Desktop after saving. You should see the hammer icon in the input box.

Environment Variables

Variable

Default

Description

GSC_CREDENTIALS_PATH

(none)

Absolute path to service account credentials JSON

GSC_ALLOW_DESTRUCTIVE

false

Set to true to enable add/delete operations

GSC_DATA_STATE

all

all (matches GSC dashboard) or final (confirmed data only, 2-3 day lag)

Development

# Install dependencies
npm install

# Build TypeScript
npm run build

# Run (STDIO)
npm start

Project Structure

gsc-mcp/
├── src/
│   ├── index.ts    # MCP server entry point + all tool registrations
│   └── auth.ts     # Service account authentication
├── key/            # Default location for service account credentials JSON
├── build/          # Compiled JavaScript output
├── package.json
└── tsconfig.json

Credits

Original Python MCP-GSC server created by Amin Foroutan.

License

ISC

A
license - permissive license
Not graded
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    B
    quality
    A
    maintenance
    Model Context Protocol (MCP) server that provides AI agents with access to Google Search Console data.
    21
    2,582
    258
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server for querying Google Search Console data — search analytics, URL inspection, sitemap monitoring, and more — read-only tools for any MCP-compatible AI client.
    7
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    A lightweight, fast MCP server for Google Search Console. Query search analytics, manage sitemaps, and inspect URLs directly from your AI assistant.
    7
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    A Model Context Protocol server that provides read-only access to Google Search Console data, enabling natural language queries about SEO performance, rankings, and indexing status.
    123
    MIT

View all related MCP servers

Related MCP Connectors

  • SEO research, audits, backlinks, GSC, and content workflow tools for AI agents.

  • Turn Search Console data into SEO actions, content, publishing, indexing, and AI insights.

  • A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…

View all MCP Connectors

Latest Blog Posts

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/GuodongDai2113/gsc-mcp'

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