MCP server

Performix Site Official

app.performix/performix-site

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Performix public corpus over MCP: guides, books, evidence, outcome models, plus a computing tool.

Website Source

At a glance

Type

MCP server

Publisher

performix.app (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 2,085 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http performix-site https://performix.app/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.performix-site]
url = "https://performix.app/api/mcp"

Gemini CLI

{"mcpServers":{"performix-site":{"httpUrl":"https://performix.app/api/mcp"}}}

Cursor

{"mcpServers":{"performix-site":{"url":"https://performix.app/api/mcp"}}}

VS Code

{"servers":{"performix-site":{"type":"http","url":"https://performix.app/api/mcp"}}}

Antigravity

agy mcp add performix-site https://performix.app/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"performix-site","server_url":"https://performix.app/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"performix-site","server_url":"https://performix.app/api/mcp"}

Tools

• get_book ~137 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>.
• get_evidence_source ~213 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/
• get_guide_part ~171 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 fir
• get_outcome_model ~260 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 outcom
• list_books ~163 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, tradi
• list_evidence_sources ~314 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:
• list_guide_parts ~150 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 ca
• list_outcome_models ~210 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. Als
• self_diagnose_book ~292 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 li
• situation_demo_get ~175 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.

Browse

• Forms and surveys

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