About Google Search Console MCP
Google Search Console MCP is an MCP server published by surendranb in the Developer Tools category: mCP server for the Google Search Console API: search analytics, sitemaps, URL inspection, sites. It has been installed 0 times through Conduid.
The repository has 25 stars and 4 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.
Install
npx google-search-console-mcpclaude mcp add google-search-console-mcp -- npx -y mcp-google-search-consolenpx -y mcp-google-search-consoleThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Releases
README
Google Search Console MCP "Intel Engine" 🚀
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:
- Go to the Google Cloud Console.
- Create a new project and enable the Google Search Console API.
- Go to APIs & Services > Credentials and create a Service Account.
- Create a JSON Key for the service account and download it (save as
gsc-key.json).
B. Grant Access in Search Console:
- Open your JSON key file and copy the
client_emailaddress. - Go to Google Search Console.
- Select your property and go to Settings > Users and Permissions.
- 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
README mirrored from the source repository 14 hours ago. The original is authoritative.