com.toolsthatrank/serp-metrics

Est-ce que com.toolsthatrank/serp-metrics est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.toolsthatrank/serp-metrics » 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 3 outils

• impression_weighted_position≈ 310 tokens

  Compute the impression-weighted average SERP position for a set of query rows, alongside the plain arithmetic mean and the gap between them. The arithmetic mean lets a 3-impression query count as much as a 30,000-impression one; the weighted figure describes where a typical impression actually happened. A positive weighting_shift means your high-volume queries rank worse than the unweighted average suggests.

  Paramètres, retour & exemple (1)

  Paramètres

  • rows · array · requis
    Query rows.

  Exemple d'appel

  {"name": "impression_weighted_position", "arguments": {"rows": []}}

  Exemple de retour

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

• project_clicks_from_ctr_curve≈ 492 tokens

  Project how many clicks a set of query rows would earn at a target position instead of their current position, using a CTR curve THAT YOU SUPPLY. This server deliberately ships no built-in CTR table: every published average-CTR-by-position table is a third-party estimate over someone else's traffic, so applying one silently would disguise a guess as a measurement. Pass your own measured curve (Search Console clicks/impressions by position is the honest source). Positions between curve points are linearly interpolated; positions beyond the curve clamp to the last point rather than extrapolate, and are counted in clamped_row_count. If any row carries observed clicks, the output also reports how far the supplied curve is from your reality.

  Paramètres, retour & exemple (3)

  Paramètres

  • rows · array · requis
    Query rows.
  • ctr_curve · object · requis
    Required. Map of position to click-through rate as a 0-1 fraction, e.g. {"1":0.28,"2":0.15,"3":0.10,"10":0.02}. Supply your own measured values.
  • target_position · number · optionnel
    Target position applied to every row that does not carry its own.

  Exemple d'appel

  {"name": "project_clicks_from_ctr_curve", "arguments": {"rows": [], "ctr_curve": {}}}

  Exemple de retour

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

• share_of_voice≈ 288 tokens

  Compute share of voice across competing entities over a keyword set. Reports impression share always, and, if you supply a CTR curve, a weighted visibility share that accounts for the fact that an impression at position 1 is not worth an impression at position 9. Impression share is share of the supplied set only and says nothing about keywords you did not supply.

  Paramètres, retour & exemple (2)

  Paramètres

  • entities · array · requis
    One entry per competitor per keyword, or pre-aggregated per competitor.
  • ctr_curve · object · optionnel
    Optional caller-supplied position-to-CTR map, for weighted visibility.

  Exemple d'appel

  {"name": "share_of_voice", "arguments": {"entities": []}}

  Exemple de retour

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

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Source

https://toolsthatrank-mcp.lipmichal.workers.dev