SEO & GEO README
The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the SEO & GEO listing page.
seo-geo-mcp-server
An MCP server that lets an AI agent audit a page for SEO and GEO (Generative Engine Optimization) — on-page tags, structured data, robots.txt, sitemaps, hreflang, and whether ChatGPT, Claude, Perplexity and Gemini can actually crawl and cite you. No API keys required.
Built on the v2 MCP SDK: the server speaks the 2026-07-28 protocol revision and still accepts 2025-era clients (Claude Desktop, Claude Code, Cursor) from the same factory — one build, both eras, nothing to configure.
Ask Claude "how is this page doing, and will AI assistants cite it?" and it runs a full audit and hands you a graded report with prioritised fixes — instead of you pasting a URL into six different web tools.
Why this exists
Two gaps, one server.
The SEO gap: the on-page checkers are all web UIs. None of them let an agent run the audit, read the result and fix the code in the same loop.
The GEO gap: "generative engine optimization" tooling is mostly rank-tracking dashboards behind a subscription. The mechanics that actually decide whether an AI assistant can cite you are cheap to check and almost never checked:
- Can the AI search crawlers reach you? Blocking
GPTBotstops training. BlockingOAI-SearchBotstops you being cited. Most sites that meant to do the first have accidentally done the second. This server separates them. - Does your content exist without JavaScript? Googlebot renders JS.
GPTBot,ClaudeBot,PerplexityBotandCCBotlargely do not. A client-rendered page can rank fine in Google and be invisible to every AI assistant.
It is the agent-facing companion to the tools at ortamarco.me,
and shares its core (the connect-time SSRF guard and host validation)
with domain-security-mcp-server.
Tools
Audits
| Tool | What it does |
|---|---|
seo_audit ⭐ | One fetch → seven weighted sections (meta, headings, content, schema, images, links, crawlability) → 0–100 score, A–F grade, prioritised fixes. include_geo=true adds the GEO dimension |
geo_audit ⭐ | AI answer-engine readiness: crawler access (25), server-rendered content (20), structured data (15), extractable structure (15), authorship (10), freshness (8), depth (7) |
GEO
| Tool | What it does |
|---|---|
ai_crawler_access | Resolves ~35 AI crawler tokens against robots.txt. Separates training from citation bots, flags blocks that vendors document as unenforceable, handles the Applebot→Googlebot fallback |
render_check | Whether content survives without JavaScript — detects unhydrated SPA shells that AI crawlers cannot read |
llms_txt_check | Detects and validates /llms.txt against the llmstxt.org proposal — and reports its real adoption status rather than implying it earns visibility |
On-page
| Tool | What it does |
|---|---|
meta_tags_check | Title, description, canonical, robots (meta and X-Robots-Tag), lang, charset, viewport |
social_preview_check | Open Graph + Twitter Card, and verifies the og:image actually loads |
heading_structure | Full h1–h6 outline, multiple h1s, skipped levels, question-shaped headings |
structured_data_check | JSON-LD/microdata/RDFa extraction, parse errors, and Google rich-result requirements for 21 schema types |
content_analysis | Word count, Flesch reading ease, thin-content detection, text-to-HTML ratio, term density (EN + ES stopwords) |
image_seo_check | Missing alt text, missing dimensions (layout shift), lazy loading, WebP/AVIF adoption |
Technical
| Tool | What it does |
|---|---|
robots_txt_check | RFC 9309 parse; flags wildcard Disallow: / and 5xx responses (which Google reads as disallow-all) |
sitemap_check | Discovery via robots.txt → conventional paths; index following, gzip, 50k/50MiB limits, lastmod validity |
canonical_host_check | All four http/https × apex/www variants — do they converge on one canonical URL, and via 301 or 302? |
redirect_trace | Hop-by-hop chain with loop and temporary-redirect detection |
link_audit | Internal/external split, rel attributes, generic anchor text, optional broken-link sampling |
hreflang_check | BCP-47 validity, self-reference, x-default, duplicates — plus optional reciprocity verification |
Every tool is read-only, declares an outputSchema and returns
structuredContent (validated by the SDK) alongside human-readable Markdown
(default) or JSON (response_format="json"), plus actionable error messages.
Honesty notes
This server deliberately refuses to overstate two things that most GEO content gets wrong. Both are surfaced in tool output, not buried here:
llms.txtis not an adopted standard. It is a community proposal from September 2024. No major AI vendor has documented that its crawlers read it from third-party sites, and Google has publicly said it does not. The tool reports presence and validates shape — andgeo_auditdeliberately does not score it. (llms-full.txtis a docs-tooling convention, not part of the proposal.)- Some robots.txt blocks are advisory.
Perplexity-User,ChatGPT-Userandmeta-externalfetcherare documented by their own vendors as ignoring or possibly ignoring robots.txt. Reporting those as cleanly "blocked" would be misleading, so they are listed separately as unenforceable.
Crawler tokens carry a provenance field distinguishing first-party vendor
documentation from community aggregators, and vendors that publish no token at
all (xAI/Grok, Microsoft Copilot) are named explicitly — because a missing rule
cannot be read as either allowed or blocked.
Install
Requires Node.js 20.18+. Nothing to clone — every MCP client can run it with npx.
Use it with Claude Code
Use it with Claude Desktop or Cursor
Add to claude_desktop_config.json (or ~/.cursor/mcp.json) — see examples/:
On Windows use "command": "cmd" with "args": ["/c", "npx", "-y", "seo-geo-mcp-server"].
Restart the client, then ask: "Audit the SEO and GEO of example.com."
Self-host (HTTP transport)
The same server speaks stateless Streamable HTTP for remote or multi-client
use. One endpoint serves both protocol eras; there is no session state and no
Mcp-Session-Id to carry.
It is safe by default: it binds to 127.0.0.1 and only accepts localhost
Host and Origin headers, which blocks DNS-rebinding attacks from a web page.
To expose it — for example behind Coolify or Traefik — opt in explicitly:
| Variable | Default | Purpose |
|---|---|---|
TRANSPORT | stdio | http to serve Streamable HTTP |
PORT | 3000 | Listening port |
HOST | 127.0.0.1 | Bind address; 0.0.0.0 to accept remote connections |
ALLOWED_HOSTS | — | Comma-separated hostnames the Host header may carry (e.g. mcp.example.com) |
ALLOWED_ORIGINS | — | Comma-separated origins allowed to call from a browser |
MCP_AUTH_TOKEN | — | If set, every request needs Authorization: Bearer <token> |
Binding to a non-loopback address without ALLOWED_HOSTS or MCP_AUTH_TOKEN
works, but the server says so on stderr. With Docker (the image sets HOST=0.0.0.0):
Develop
evals/ holds a 10-question LLM evaluation set (stable, verifiable)
and instructions for running it — see evals/README.md.
How it works
The core/ layer is deliberately free of any MCP types, so the same logic can
power both this server and a web UI.
Security
The tools fetch URLs the caller names and URLs the audited site names (links,
og:image, hreflang alternates, sitemap children, redirects), so every outbound
connection is screened against server-side request forgery:
- Private, loopback, link-local (cloud metadata), shared (CGNAT), multicast and
reserved addresses are refused in every spelling, including IPv4 embedded in
IPv6 (
[::ffff:127.0.0.1]). - The check runs at connect time, on the address the socket is about to use, so DNS rebinding and names only an internal resolver knows are refused too. Redirects are followed by hand, every hop is screened, and loops are reported.
- Untrusted input is bounded: 2 MB of HTML, 512 levels of nesting (what browsers keep), a backtracking-free robots.txt matcher, 10 MiB per sitemap (gzip output included), six link checks at a time, and at most 200 items per list in a result.
Found a problem? Please open a private security advisory.
License
MIT © Marco Orta