app.performix/performix-site
Measured conclusion: Alive, not deep-tested. L2 outcome: not_attempted.
Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.
| Author | app.performix |
|---|---|
| Access | remote |
| Publisher key required | No |
| Measured state | Alive, not deep-tested |
| L1 liveness | alive |
| L1 latency | 2423 ms |
| Last measured | 2026-10-26 |
Add to your agent
Copy this into your MCP client config:
{
"mcpServers": {
"performix-site": {
"url": "https://performix.app/api/mcp",
"transport": "streamable-http"
}
}
}
Measured tools (10)
list_booksread-onlyList 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.
Parameters:
query— string — Case-insensitive substring filter against title/authors/tradition/blurb.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
get_bookread-onlyGet 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>.
Parameters:
slug(required) — string — Book slug, e.g. aguinis-performance-management.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
list_evidence_sourcesread-onlyList 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.
Parameters:
query— string — Case-insensitive substring filter against authors/title/venue.camsDimension— string — Restrict to sources with at least one finding filed on this CAMS dimension.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
get_evidence_sourceread-onlyGet 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.
Parameters:
id(required) — string — Source id, e.g. source.corpus.aguinis_2019 (from list_evidence_sources).
Hints: read-only yes · destructive no · idempotent not declared · open-world no
list_outcome_modelsread-onlyList 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.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
get_outcome_modelread-onlyGet 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.
Parameters:
id(required) — string — Outcome id, e.g. quota_attainment (from list_outcome_models).
Hints: read-only yes · destructive no · idempotent not declared · open-world no
list_guide_partsread-onlyList 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.
Hints: read-only yes · destructive no · idempotent not declared · open-world no
get_guide_partread-onlyGet 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.
Parameters:
slug(required) — string — Guide part slug, e.g. part-2-capability (from list_guide_parts).
Hints: read-only yes · destructive no · idempotent not declared · open-world no
self_diagnose_bookread-onlyThe 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.
Parameters:
slug(required) — string — Exec-shelf book slug, e.g. the-culture-code.ratings(required) — object — Lever id → rating 1..5 (lever ids come from the book's model constructs; rate at least two).
Hints: read-only yes · destructive no · idempotent not declared · open-world no
situation_demo_getread-onlyGet 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.
Parameters:
situation(required) — stringseat(required) — string
Hints: read-only yes · destructive no · idempotent not declared · open-world no
Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.