io.github.Convrgent/aeo-scanner

Est-ce que io.github.Convrgent/aeo-scanner est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.Convrgent/aeo-scanner » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 4 outils

• audit_site≈ 429 tokens

  Full AI visibility audit across 77+ checks in 12 categories (4 AEO + 4 GEO + 4 Agent Readiness). Returns detailed per-check scores with specific issues and recommendations, AI Identity Card with mention readiness and detected competitors, and business profile. GEO checks include 3 research-backed citation signals: factual density, answer frontloading, and source citations. Agent Readiness covers emerging agent-discovery standards Cloudflare's isitagentready.com evaluates: RFC 9727 api-catalog, SEP-1649 MCP Server Card, and IETF Content-Signal (draft-romm-aipref). Does NOT generate fix code — pass this response's id as scan_id to fix_site (within 1 hour) to get fixes WITHOUT a re-crawl, or use compare_sites to benchmark against a competitor. Pay per call ($1.00) via x402 — USDC on Base or Solana. Machine payment via signed X-PAYMENT header; see https://www.x402.org/. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

  Paramètres, retour & exemple (3)

  Paramètres

  • url · string · requis
    Full URL to audit
  • pages · integer · optionnel
    Number of pages to audit (1-10)
  • categories · array · optionnel
    Filter to specific categories: structured_data, meta_technical, ai_accessibility, content_quality, brand_narrative, citation_readiness, authority_signals, entity_definition, machine_identity, api_discoverability, structured_actions, programmatic_access

  Exemple d'appel

  {"name": "audit_site", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• compare_sites≈ 264 tokens

  Competitive gap analysis — scans two sites concurrently, shows side-by-side scores, category-by-category winners, competitive gaps (checks where the competitor scored 20+ higher), and generated overtake fix code with projected scores after closing gaps. Use this when the user wants to benchmark against a competitor or when scan_site detects competitors in the AI Identity Card. Pay per call ($3.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

  Paramètres, retour & exemple (3)

  Paramètres

  • url · string · requis
    Your site URL
  • pages · integer · optionnel
    Number of pages to scan per site (1-5)
  • competitorUrl · string · requis
    Competitor site URL to benchmark against

  Exemple d'appel

  {"name": "compare_sites", "arguments": {"url": "texte", "competitorUrl": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• fix_site≈ 373 tokens

  Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick wins (critical + high fixes only) and full implementation ceiling (all fixes). TIP: pass scan_id from a fresh audit_site result (kept 1 hour) to skip the re-crawl — instant response, same price. Content recommendations include research citations. Run scan_site first to see which issues exist. Pay per call ($5.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

  Paramètres, retour & exemple (4)

  Paramètres

  • url · string · optionnel
    Full URL to generate fixes for (required unless scan_id is given)
  • pages · integer · optionnel
    Number of pages to analyze (1-10); ignored when scan_id is used
  • format · string · optionnel · generic | claude_code
    Output format: generic or claude_code (optimized for Claude Code)
  • scan_id · string · optionnel
    id from a recent audit_site response — reuses that crawl (1h TTL), instant response

  Exemple d'appel

  {"name": "fix_site", "arguments": {"url": "texte", "pages": 1, "format": "generic", "scan_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• scan_site≈ 265 tokens

  Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 77+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.

  Paramètres, retour & exemple (2)

  Paramètres

  • url · string · requis
    Full URL to scan (e.g. https://example.com)
  • pages · integer · optionnel
    Number of pages to scan (1-5)

  Exemple d'appel

  {"name": "scan_site", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

C'est votre serveur ?

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Source

https://aeo-mcp.convrgent.ai/mcp