Install
$ agentstack add mcp-arturseo-geo-mcp-crawl-parity ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Crawl Parity MCP
> Part of the GEO Stack research programme — where we discovered that Googlebot and AI crawlers make independent authority assessments on new domains.
An MCP (Model Context Protocol) server for analyzing Googlebot vs AI crawler parity from Nginx access logs and Google Search Console (GSC) data. Determines how consistently AI crawlers access your content relative to Googlebot.
Installation
npm install
Requires Node.js 18+.
Usage
Start the Server
npm start
Or directly:
node src/index.js
Tool: analyze_logs
Parse an Nginx combined log format file and classify requests by crawler type.
Input:
log_path(string, required): Path to Nginx access log file
Output:
{
"googlebot_requests": 1234,
"ai_crawler_requests": 456,
"parity_ratio": 37.0,
"parity_level": "low_parity",
"paths_googlebot": 89,
"paths_ai_crawler": 42,
"unique_paths": 120
}
Tool: gsc_crossref
Cross-reference log analysis results with GSC search analytics data.
Input:
logs_analysis(object, required): Output from analyze_logs or similar structuregsc_data(array, required): GSC analytics records withpage,impressions,clicks,ctr,position
Output:
{
"both": 45,
"logs_only": 20,
"gsc_only": 35,
"total_analyzed": 100
}
Tool: parity_report
Generate a comprehensive crawl parity report combining logs and GSC data.
Input:
log_path(string, required): Path to Nginx access log filegsc_data(array, required): GSC analytics records
Output:
{
"timestamp": "2026-03-26T14:30:00.000Z",
"logs_analysis": { ... },
"gsc_crossref": { ... },
"summary": {
"googlebot_activity": "detected",
"ai_crawler_activity": "detected",
"parity_status": "low_parity",
"parity_percentage": 37.0,
"recommendation": "Low parity - AI crawlers are significantly underrepresented"
}
}
Parity Levels
| Level | Ratio | Meaning | |-------|-------|---------| | high_parity | ≥80% | AI crawlers access your content nearly as often as Googlebot | | medium_parity | 40-79% | Moderate parity; consider optimizing AI crawler discoverability | | low_parity | <40% | AI crawlers significantly underrepresented; review robots.txt and crawlability | | insufficient_data | N/A | Googlebot requests = 0; cannot calculate parity |
Bot Signatures
Googlebot Detection
Googlebot(with space, slash, or end-of-string)Googlebot-ImageAdsBot-Google
AI Crawler Detection
GPTBot(OpenAI)ClaudeBot(Anthropic)PerplexityBot(Perplexity)YouBot(You.com)Bytespider(ByteDance)Google-Extended(Google AI)CCBot(Common Crawl)PetalBot(Alibaba)Applebot-Extended(Apple)
Nginx Log Format
Expects combined log format:
ip - - [timestamp] "METHOD /path HTTP/1.1" status bytes "referer" "user-agent"
License
MIT — See LICENSE file
Author
Artur Ferreira / The GEO Lab
A project by The GEO Lab — Generative Engine Optimisation research
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: arturseo-geo
- Source: arturseo-geo/mcp-crawl-parity
- License: MIT
- Homepage: https://thegeolab.net
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.