Skip to main content

The GSC 'Intel Engine' for the evolving search landscape. Authoritative visibility governance and AI overview citation analysis via Model Context Protocol.

Project description

Google Search Console MCP Logo

Google Search Console MCP "Intel Engine" 🚀

PyPI version PyPI Downloads GitHub stars GitHub forks License: MIT

The Authority-Based Visibility Governance Tool for the Evolving Search Landscape.

This is not just a data wrapper. It is a strategic "Intel" engine that transforms raw Google Search Console signals into actionable marketing insights. It is designed for marketers who need to understand their performance in a search landscape increasingly defined by AI Overviews and conversational search. Compatible with any MCP-compliant AI Agent.

🎯 Authoritative "Intel" Tools

Tool Name Actionable Marketing Intel Provided
get_search_appearance_audit Cannibalization Intel. Detects if you are being used as a "Silent Reference" (high visibility but no clicks) in specialized SERP features.
get_intent_segmentation Strategic Audience Intel. Segments traffic into "Searchers" (Traditional Keywords) vs. "Prompters" (Natural Language/AI Prompts).
identify_citation_opportunities Growth Intel. Finds content that satisfies user intent so well that users don't click. Recommends "Click-Triggers."
get_technical_citation_audit Technical Health Overlay. Cross-checks high-visibility pages with the URL Inspection API to find disqualifying crawl errors.
get_brand_visibility_summary Brand Health Intel. Measures your Brand's "Reference Value" vs its "Destination Value."
calculate_intent_efficiency Conversion Intel. Shows which search intent (Informational/Navigational) is most effectively driving site visits.

🚀 Getting Started

1. Google Search Console Setup

Before installing the MCP server, you must configure Google Cloud and Search Console access:

A. Create Service Account:

  1. Go to the Google Cloud Console.
  2. Create a new project and enable the Google Search Console API.
  3. Go to APIs & Services > Credentials and create a Service Account.
  4. Create a JSON Key for the service account and download it (save as gsc-key.json).

B. Grant Access in Search Console:

  1. Open your JSON key file and copy the client_email address.
  2. Go to Google Search Console.
  3. Select your property and go to Settings > Users and Permissions.
  4. Click Add User, paste the service account email, and select Full permissions.

C. Identify Your Property URL:

  • For Domain properties, use the format: sc-domain:example.com
  • For URL-prefix properties, use the full URL: https://example.com/

2. Installation

pip install google-search-console-mcp

3. Configuration (Universal AI Agent)

Add this to your agent's MCP settings file:

{
  "mcpServers": {
    "gsc-search": {
      "command": "gsc-mcp",
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/your/gsc-key.json",
        "GSC_SITE_URL": "sc-domain:example.com"
      }
    }
  }
}

🛠️ Project Philosophy

This project focuses on high-leverage data analysis for modern search:

  • Simplicity First: Minimum code for maximum insight.
  • Token Efficiency: Server-side aggregation prevents "Context Length" issues.
  • Authoritative Data: We only use official Google Search Console API signals. No speculative "AI SEO" hacks.

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google_search_console_mcp-0.4.0.tar.gz (12.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

google_search_console_mcp-0.4.0-py3-none-any.whl (20.2 kB view details)

Uploaded Python 3

File details

Details for the file google_search_console_mcp-0.4.0.tar.gz.

File metadata

File hashes

Hashes for google_search_console_mcp-0.4.0.tar.gz
Algorithm Hash digest
SHA256 b751e60179a2214aaa4673f95d0fcff3ca9d622abb528da08810454928064df5
MD5 9b7a221806bc3bb91bf5f5c6f7858562
BLAKE2b-256 95684ba3e54c9c49165518267a93753b63ea7eca2c601b4bfa90a145828e8cbb

See more details on using hashes here.

Provenance

The following attestation bundles were made for google_search_console_mcp-0.4.0.tar.gz:

Publisher: publish.yml on surendranb/google-search-console-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file google_search_console_mcp-0.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for google_search_console_mcp-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 45f6c3bb1049926451e99d199a09abc0fb39e8132eb60b8a939e9ff9a0980347
MD5 d930f63fa87fd71e70e051fbd92758c9
BLAKE2b-256 acffb9811e981de9571db0edb20488cb626d690b5142af7dcda8a6a9b2a8503e

See more details on using hashes here.

Provenance

The following attestation bundles were made for google_search_console_mcp-0.4.0-py3-none-any.whl:

Publisher: publish.yml on surendranb/google-search-console-mcp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page