app.performix/performix-site · v3.1.0 · productivity
app.performix/performix-site is healthy: it completed an MCP handshake in 986 ms and exposes 10 tools.
Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.
Endpoint: https://performix.app/api/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 10 |
| Latency | 986 ms |
| Last checked (UTC) | 2026-10-15T17:25:14.347Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T17:25:14.347Z | Healthy | 986 | |
| 2026-10-14T16:45:43.130Z | Healthy | 2684 |
list_books | 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, tradi |
get_book | 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>. |
list_evidence_sources | 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: |
get_evidence_source | 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/ |
list_outcome_models | 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. Als |
get_outcome_model | 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 outcom |
list_guide_parts | 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 ca |
get_guide_part | 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 fir |
self_diagnose_book | 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 li |
situation_demo_get | 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. |