bots.st/performix-site
performix-site
Retrieve grounded corpus profiles and evidence chains
2494 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 10
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://performix.app/api/mcp
What it can do
| Tool | What it says it does |
|---|---|
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>. |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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… |
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. |
In its maker's words
Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.
- Website
- performix.app
- Source
- github.com/people-analyst/performix-site
- Publisher
- performix.app
- Listed from
- the official MCP Registry as
app.performix/performix-site - Version
- 3.1.0, updated 22 Sep 2026
- Kinds of work
- AI models and agent tools, Documents and files, Search and research
The domain it lives on
- performix.app
- registered 12 Dec 2024 (1 year ago), at GoDaddy.com, LLC
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2494 ms | |
| Answered | 2376 ms | |
| Answered | 825 ms |
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