GEO & SEO Readiness (Lite)

GEO & SEO Readiness MCP — Lite

An open-source Model Context Protocol server that checks whether a public website can be read and cited by AI search engines (ChatGPT Search, Perplexity, Claude) as well as classic search.

Ask your assistant "Is example.com ready for AI search?" and it runs five rule-based checks and returns a prioritized fix list. No API keys, no account, no dependencies beyond Python 3.10+.

Tools

Tool	What it checks
quick_readiness_report	Runs every check below and returns a fix_first list (FAIL before WARN).
check_ai_crawler_access	robots.txt rules for the page path, split into AI search crawlers (OAI-SearchBot, PerplexityBot, Claude-SearchBot), AI training crawlers (GPTBot, ClaudeBot, Google-Extended, CCBot) and Googlebot/Bingbot. Blocking training crawlers is reported as a policy choice, not an error.
check_llms_txt	Whether /llms.txt exists, is Markdown rather than an HTML soft-404, and has a title, sections and links.
extract_structured_data	JSON-LD types (including @graph), invalid JSON-LD, canonical and og:url pointing to another host, missing meta description, and pages whose initial HTML is an almost-empty JavaScript shell.
check_sitemap	Finds the sitemap from robots.txt or /sitemap.xml, detects urlset vs sitemapindex, counts URLs (reads up to 4 MiB, gzip supported).

Every finding is labelled PASS, WARN, FAIL, INFO or UNMEASURED. When a site blocks the request (403/429, timeouts), the check says UNMEASURED instead of guessing.

Install

git clone https://github.com/alicexixi85/geo-seo-mcp-pro.git

Claude Desktop (claude_desktop_config.json) / Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "geo-seo-readiness": {
      "command": "python3",
      "args": ["/absolute/path/to/geo-seo-mcp-pro/server.py"]
    }
  }
}

Docker

docker build -t geo-seo-readiness-lite .
docker run -i --rm geo-seo-readiness-lite

One-off check in a terminal

python3 server.py --check https://example.com

Example prompts

• "Run a quick readiness report for https://example.com and tell me the three fixes that matter most."
• "Does my robots.txt block OAI-SearchBot or PerplexityBot on /pricing?"
• "Is my canonical tag pointing somewhere it shouldn't?"

Limits (read before relying on results)

• Checks the initial HTML response only. It does not execute JavaScript, so JSON-LD injected client-side is not seen (the tool tells you when the page looks like a JavaScript shell).
• robots.txt is only one layer. A CDN or WAF (for example Cloudflare bot settings) can still block crawlers by user agent; verify those settings separately.
• Refuses localhost and private network addresses. Public http/https URLs only.
• Does not produce a single "score". Rankings and citations depend on much more than technical readiness.

Commercial edition

This repository is the free, MIT-licensed Lite server. A separate paid edition (GEO & SEO Readiness MCP Server 2.1) adds headless-Chromium rendering for SPAs, weighted scoring, two-site competitor comparison, candidate robots.txt / llms.txt / JSON-LD patches and a white-label PDF report for agencies. A sample report from that edition is in GEO_SEO_MCP_2_1_Sample_4Page_Audit_Report.pdf; details and pricing are on Gumroad. The Lite server is complete on its own and does not require the paid edition.

License

MIT. Built by @alicexixi85. Issues and pull requests welcome.