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app.performix/performix-site
serveur MCP (Model Context Protocol) · performix-site 3.1.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que app.performix/performix-site est sûr ?
Au dernier audit MCP Hub, le serveur MCP « app.performix/performix-site » 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 10 outils
- get_book≈ 392 tokens
Get the full grounded profile for one book/cluster record by slug (from list_books): the record's own argument (contrast-not-summary) plus metadata and cross-links. Same content rendered publicly at performix.app/learn/books/<slug>.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Book slug, e.g. aguinis-performance-management.
Exemple d'appel{"name": "get_book", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"book": {}}} - get_evidence_source≈ 820 tokens
Get the full source → finding → construct → survey-item evidence chain for one source by id (from list_evidence_sources): its citation, every finding extracted from it, the constructs derived from each finding, and the survey items derived from each construct. Same content rendered at performix.app/learn/evidence/<id>. HONESTY: the citation is exposed as-is, including the 132 sources still carrying a placeholder title (HO-2431) — `citationPlaceholder` says which.
Paramètres, retour & exemple (1)
Paramètresid· string · requis
Source id, e.g. source.corpus.aguinis_2019 (from list_evidence_sources).
Exemple d'appel{"name": "get_evidence_source", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"source": {}}} - get_guide_part≈ 368 tokens
Get the full body of one Team Performance Science Guide part by slug (from list_guide_parts). Same content rendered at performix.app/learn/<slug>. A part whose `status` is `stub` has no publishable body yet and returns an error rather than a placeholder — check `list_guide_parts`' `status` field first if you want to skip those.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Guide part slug, e.g. part-2-capability (from list_guide_parts).
Exemple d'appel{"name": "get_guide_part", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"part": {}}} - get_outcome_model≈ 737 tokens
Get one outcome's full driver table by id (from list_outcome_models): every driver's name, definition, CAMS dimension, lens role, evidence grade, study count (k), and evidence-reliability tier — plus drivers cited in the corpus with no meta-analytic effect size, and the personas that own this outcome. Same content rendered at performix.app/learn/models/<id>. MEASUREMENT-INTEGRITY (PFX-589, a portfolio standing rule): a driver's `r` is null unless its tier is T3 — this tool withholds exactly what the public page withholds and nothing less; VOI figures and overlap-corrected variance contributions are never exposed by this tool at any tier.
Paramètres, retour & exemple (1)
Paramètresid· string · requis
Outcome id, e.g. quota_attainment (from list_outcome_models).
Exemple d'appel{"name": "get_outcome_model", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": {}}} - list_books≈ 358 tokens
List the performance-science reading corpus behind Performix — book/cluster profiles, each with a stance toward the CAMS diagnostic thesis (ally, orthodoxy, mixed, leave-out) and a one-line argument summary. Optional `query` filters by a case-insensitive substring match against title, authors, tradition and blurb.
Paramètres, retour & exemple (1)
Paramètresquery· string · optionnel
Case-insensitive substring filter against title/authors/tradition/blurb.
Exemple d'appel{"name": "list_books", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "count": 1}} - list_evidence_sources≈ 525 tokens
List the 196 source records behind Performix's Performance Science Library — each a book, paper or corpus item with at least one derived finding, plus which CAMS dimensions (capability/alignment/motivation/support) its findings touch. Same source list rendered at performix.app/learn/evidence. NOTE: 132 of 196 sources carry an upstream placeholder citation title pending backfill (HO-2431) — check `citationPlaceholder` before treating `title`/`venue` as a real bibliographic record. Optional `query` filters by a case-insensitive substring over authors/title/venue; optional `camsDimension` filters to sources with at least one finding filed on that dimension.
Paramètres, retour & exemple (2)
Paramètresquery· string · optionnel
Case-insensitive substring filter against authors/title/venue.camsDimension· string · optionnel · capability | alignment | motivation | support
Restrict to sources with at least one finding filed on this CAMS dimension.
Exemple d'appel{"name": "list_evidence_sources", "arguments": {"query": "texte", "camsDimension": "capability"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "sources": []}} - list_guide_parts≈ 345 tokens
List all 12 parts (8 numbered parts + 4 appendices) of the Team Performance Science Guide, Performix's cited public reference on why team performance varies and the CAMS diagnostic frame — same table of contents rendered at performix.app/learn. Each row carries `status` (live | draft | stub) so a caller can see which parts are actually publishable before calling get_guide_part.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_guide_parts", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "parts": []}} - list_outcome_models≈ 513 tokens
List the constructed outcome-model register behind Performix diagnostics — 28 per-outcome factor models generated from principia's meta-analytic library, each with its driver count, grade-A driver count, CAMS filing counts, and persona reach. Same register rendered at performix.app/learn/models. Also returns `namedUnmodellable` — outcomes named in the catalog with no constructed model yet. MEASUREMENT-INTEGRITY (PFX-589): this list carries no effect sizes at all; call get_outcome_model for a driver table, which withholds `r` below evidence tier T3 exactly as the public page does.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_outcome_models", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "models": [], "namedUnmodellable": []}} - self_diagnose_book≈ 639 tokens
The runnable library's weakest-lever read, computed here from the committed book model: rate how present each of the book's levers is on your team (1–5) and get the one to work on first, ranked by weakness then causal leverage — the SAME function performix.app/learn/library uses. Levers come from list_books' exec-shelf slugs (e.g. the-culture-code). N=1, self-report, not psychometrically calibrated: tier INFERRED. Refuses degenerate ratings (fewer than two levers rated, all ratings equal, or values outside 1–5) instead of inventing an answer.
Paramètres, retour & exemple (2)
Paramètresslug· string · requis
Exec-shelf book slug, e.g. the-culture-code.ratings· object · requis
Lever id → rating 1..5 (lever ids come from the book's model constructs; rate at least two).
Exemple d'appel{"name": "self_diagnose_book", "arguments": {"slug": "texte", "ratings": {}}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"slug": "texte", "title": "texte", "ranked": [], "honesty": {}, "weakest": {}, "itemsTotal": 1}} - situation_demo_get≈ 482 tokens
Get a committed situation-demo export for an outcome and audience seat. The data is synthetic and illustrative, never a real client or live measurement. Visual series may be trimmed to stay within the response-size budget.
Paramètres, retour & exemple (2)
Paramètresseat· string · requis · executive | manager | coachsituation· string · requis · sales-quota-tail-blame-effort | customer-service-sla-green-csat-sliding | engineering-platform-attrition
Exemple d'appel{"name": "situation_demo_get", "arguments": {"seat": "executive", "situation": "sales-quota-tail-blame-effort"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"seat": "texte", "cards": [], "dataset": {}, "outcome": {}, "contract": "texte", "situation": "texte", "synthetic": true, "truncation": "texte"}}
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