searchconsole-mcp 0.1.0

MCP server for Google Search Console — query search analytics, manage sitemaps, inspect URLs

searchconsole-mcp

A lightweight, fast MCP server for Google Search Console. Query search analytics, manage sitemaps, and inspect URLs directly from your AI assistant.

Features

• 7 Powerful Tools: List sites, query search analytics, manage sitemaps, inspect URLs
• Fast & Lightweight: Built with httpx and google-auth — minimal dependencies
• Standard MCP: Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client
• Full Analytics: Query clicks, impressions, CTR, and position with flexible dimensions and filters
• URL Inspection: Check indexing status and coverage for any URL
• Sitemap Management: Submit, list, and delete sitemaps

Installation

From PyPI (recommended)

pip install searchconsole-mcp

From source

git clone https://github.com/harisnadeem/searchconsole-mcp.git
cd searchconsole-mcp
pip install -e .

Quick Start

1. Enable the Search Console API

1. Go to Google Cloud Console
2. Select or create a project
3. Click Enable

2. Authenticate

Option A: User Account (OAuth) — recommended for personal use

gcloud auth application-default login

Option B: Service Account — recommended for team/agency use

1. Create a service account: Google Cloud Console → IAM → Service Accounts
2. Download the JSON key
3. Set the environment variable:

   export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-key.json"
   

3. Configure your MCP client

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "searchconsole": {
      "command": "searchconsole-mcp",
      "env": {}
    }
  }
}

Cursor

In Cursor Settings → Features → MCP, add:

• Name: searchconsole
• Type: command
• Command: searchconsole-mcp

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "searchconsole": {
      "command": "searchconsole-mcp"
    }
  }
}

Usage Examples

Once connected, ask your AI assistant:

• "List all sites in my Search Console account"
• "Show me search analytics for example.com for the last 30 days"
• "Get the top queries with highest impressions but low CTR"
• "Check if https://example.com/page is indexed"
• "Submit the sitemap at https://example.com/sitemap.xml"

Available Tools

Tool	Description
get_sites	List all verified sites in your Search Console account
query_search_analytics	Query clicks, impressions, CTR, position by dimensions
get_sitemap	Get metadata for a specific sitemap
list_sitemaps	List all sitemaps for a site
submit_sitemap	Submit/add a new sitemap URL
delete_sitemap	Remove a sitemap from Search Console
inspect_url	Inspect indexing status, coverage, and robots.txt state

Configuration

Environment Variables

Variable	Description	Required
GOOGLE_APPLICATION_CREDENTIALS	Path to service account key JSON	Only if using service account

Google Cloud Project

The server uses Application Default Credentials (ADC). Ensure the Google Cloud project has the Search Console API enabled.

API Rate Limits

The Search Console API enforces per-user quotas:

• Default: ~25,000 queries per day
• URL Inspection: Limited (~10 per minute)

The server does not implement additional rate limiting; respect the API quotas.

Requirements

• Python 3.10+
• Google Cloud project with Search Console API enabled
• Authenticated Google account with Search Console access

Development

# Clone and setup
git clone https://github.com/harisnadeem/searchconsole-mcp.git
cd searchconsole-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Run tests
python -m pytest tests/

# Format code
black searchconsole_mcp/
ruff check searchconsole_mcp/

Publishing a Release

This repository is configured for GitHub Actions + PyPI Trusted Publishing.

1. In PyPI, create the project searchconsole-mcp (or use the existing one).
2. In PyPI project settings, add a Trusted Publisher:
   • Owner: harisnadeem
   • Repository: searchconsole-mcp
   • Workflow: publish.yml
   • Environment: pypi
3. Create and push a version tag:

   git tag v0.1.0
   git push origin v0.1.0
   

4. Create a GitHub Release for that tag.
5. The Publish to PyPI workflow publishes the package automatically.

Contributing

Contributions welcome! Please read CONTRIBUTING.md for guidelines.

Changelog

See CHANGELOG.md for version history.

License

Apache 2.0 — see LICENSE for details.

Acknowledgments

Built with:

• MCP Python SDK
• Google Search Console API
• httpx

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Not officially affiliated with Google. This is an unofficial, community-maintained MCP server for Google Search Console.