MCP server

Peopleanalyst Discovery Official

com.peopleanalyst/discovery

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

PeopleAnalyst's free people-analytics feeds: answers, tools, evidence, story and scene catalogs.

Website Source

At a glance

Type

MCP server

Publisher

peopleanalyst.com (verified by the MCP Registry)

Status

Working at last check

Tools

16

Token cost

About 3,408 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 discovery https://peopleanalyst.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.discovery]
url = "https://peopleanalyst.com/mcp"

Gemini CLI

{"mcpServers":{"discovery":{"httpUrl":"https://peopleanalyst.com/mcp"}}}

Cursor

{"mcpServers":{"discovery":{"url":"https://peopleanalyst.com/mcp"}}}

VS Code

{"servers":{"discovery":{"type":"http","url":"https://peopleanalyst.com/mcp"}}}

Antigravity

agy mcp add discovery https://peopleanalyst.com/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":"discovery","server_url":"https://peopleanalyst.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"discovery","server_url":"https://peopleanalyst.com/mcp"}

Tools

• get_answer ~209 tokens
  Returns one authored /answers page as structured content: question, markdown answer body (short answer, problem frame, evidence, grounded sources), and citations with libraryId or url. Known slugs (33): measure-employee-performance, survey-validity-check, people-analytics-program-maturity, people-an
• get_brandscripts ~274 tokens
  Per-persona StoryBrand arguments for each product. The persona × goal argument layer (SB7-shaped). Stable ?id is globally exact; ?product + ?persona + ?variant selects one exact scoped variant, while ?variant alone remains a compatible filter. Live is the default; ?status=draft|all opts into authori
• get_canonical_forms ~184 tokens
  The canonical form vocabulary — the structural primitive. 7 data shapes and the 33 canonical forms they resolve to. The form is why one engine reads compensation, attrition, funnels and survey data without a per-domain rewrite: the domain is in the metric tag, the structure is here. 'oftenMeans' is
• get_claim_warrant ~325 tokens
  How many works discuss a claim — discourse volume, with the works named. For a construct pair mined from the book corpus: how many distinct works discuss the link, and which ones, with each work's stated rationale. ⚠ This is DISCOURSE, not evidence — book frequency is confounded by publication incen
• get_insight_cards ~161 tokens
  A pitch rendered as player-ready InsightCards. Serves a named pitch as an ordered InsightCard[] (the cross-site insight-player contract). ?pitch selects the pitch; ?awareness optionally reshapes the sequence for the buyer's awareness state.
• get_library_ids ~212 tokens
  Library id export — stable ids for the works homed here. Batch export of library_id rows (id, title, author, year, property tags) for the works that home on peopleanalyst.com. Ids are content-addressed (SHA-256 of normalized title|authors|year) and stable across repos, so a consumer can join to this
• get_marketing_registry ~154 tokens
  The Pitboss marketing-asset registry (typed cards + personas). Cross-site marketing-asset cards built from the portfolio's brandscripts and proofs, plus the persona set. ?product filters to one product; ?status filters by lifecycle.
• get_product_description ~257 tokens
  Bicycle.LLC product descriptions through the stable PeopleAnalyst feed. Versioned, CORS-open descriptions of every product in the portfolio — general positioning plus structured personas, goals, problems, journeys, and associated BrandScripts where the product has that canon. Bicycle.LLC owns the co
• get_scene_templates ~335 tokens
  Falsifiable scene templates — one claim plus what would make it false. The cards a story is told with. Each declares truth conditions the data can falsify, so a claim survives on evidence rather than assertion. Persona relevance is derived from focus (a stated heuristic). Drafts excluded unless ?sta
• get_situations ~142 tokens
  Demonstration scenarios (discovered → diagnosed → solved). The proof layer paired with brandscripts: concrete situations a product resolves. ?product filters; ?status opts into drafts.
• get_story_tracks ~253 tokens
  Pre-authored data-story tracks — the possibility space. Complete data stories: the SB7 argument, the acts and beats that carry it, the branches it forks down, the decision it produces, and the data required to test it. Candidates only — nothing here asserts a story is true of any organisation; that
• get_tools ~225 tokens
  The PeopleAnalyst tool catalog (corpus-grounded acting tools). Machine-readable catalog of every corpus-grounded acting tool — name, category, what it does, inputs/outputs, concrete use cases, the profile URL, and how to run it (auth-gated REST + MCP). Last production probe (2026-09-23) reported gro
• list_answers ~90 tokens
  Returns the full index of authored /answers pages — one entry per slug, with the question and canonical URL. Use this to discover available slugs before calling get_answer.
• list_peopleanalyst_feeds ~87 tokens
  List PeopleAnalyst's free machine-readable feeds and their MCP/REST availability. OpenAPI is also published at https://peopleanalyst.com/openapi.json.
• plan_next_data_ask ~290 tokens
  What data to ask for next, and what it would rule out. The acquisition planner. Given which data-stories are still candidates, returns the single most efficient next question, the full ranked list, and the minimum set of asks that makes every live story testable — split into what can be sent today v
• run_segmentation ~210 tokens
  Behavioral segmentation, role discovery, and exemplar matching. Deterministic segmentation over caller-supplied numeric vectors: cluster subjects, discover roles from behaviour + relationship edges, detect emergent roles, or match against exemplars. Structured non-biometric signals only — no audio,

Browse

• OpenAPI tools
• Converting to Markdown
• Forms and surveys
• Legal research
• APIs and testing

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