Suganthan-Mohanadasan

Suganthan-Mohanadasan / Suganthans-BigQuery-MCP-Server

Public

BigQuery MCP server for Claude — query any BigQuery dataset in natural language, with built-in SEO analysis tools for GSC bulk export data

14
1
100% credibility
Found Mar 31, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This open-source tool connects the Claude AI to Google BigQuery-stored Google Search Console data, enabling natural-language queries for advanced SEO analyses like traffic forecasting, anomaly detection, and performance recommendations.

How It Works

1
🔍 Discover the SEO Helper

You stumble upon this free tool while looking for ways to better understand your website's search traffic using smart AI analysis.

2
📊 Prepare Your Search Data

You download your site's search performance data from Google Search Console and upload it to a secure online storage spot.

3
🔑 Set Up Secure Access

You create a private permission slip so the AI can safely peek at your data without changing anything.

4
🚀 Link to Your AI Chat Buddy

You simply tell your Claude desktop app where to find the tool and your data, and everything connects with one easy setup.

5
💬 Start Chatting with Your Data

You open Claude and ask everyday questions like 'Show me traffic trends' or 'Find pages losing visitors'.

6
📈 Get Clear, Actionable Answers

Claude instantly analyzes your data and shares easy-to-read reports, predictions, alerts, and tips tailored to your site.

🎉 Grow Your Website Traffic

Armed with these insights, you make smart changes to your site and watch your search rankings and visitors improve.

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AI-Generated Review

What is Suganthans-BigQuery-MCP-Server?

This TypeScript MCP server hooks Claude Desktop into your BigQuery datasets, letting you query Google Search Console bulk exports in natural language for SEO analysis. Instead of raw SQL results, it delivers verdicts like traffic forecasts via BigQuery ML, anomaly detection, and quick wins on cannibalization or CTR opportunities across 26 specialized tools. Setup involves npm install, a build step, and adding env vars like BIGQUERY_PROJECT_ID to Claude's config for seamless bigquery mcp claude integration.

Why is it gaining traction?

It skips generic bigquery github integration or basic bigquery mcp servers by bundling SEO-specific analysis on unsampled GSC data—think anonymous traffic reveals, device splits, and n-gram clustering that GSC API hides. Guardrails ensure Claude sticks to exact BigQuery numbers, with dry-run cost estimates and 10GB query caps for safety. Pairs well with bigquery github public dataset exploration or github data bigquery workflows, standing out for ML-powered insights without extra services.

Who should use this?

SEO analysts digging into GSC bulk exports for content gaps, traffic drops, or seasonal trends. Marketers forecasting organic traffic or hunting quick wins on high-impression keywords ranking 4-15. Devs prototyping bigquery mcp cursor tools or bigquery mcp toolbox for client analysis dashboards.

Verdict

Solid for GSC-heavy BigQuery users—excellent docs with screenshots beat most bigquery mcp server github repos—but 14 stars and 1.0% credibility signal early maturity; expect tweaks for edge cases. Try if you have bulk exports ready; skip for generic bigquery github dataset needs.

(198 words)

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