discovery

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

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

    Какие данные видит

    Нужен ли аккаунт

    Не нужен: сервер работает без входа

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

    Как подключить

    Как подключить discovery к Claude

    Адрес сервера, который нужно вставить в настройках Claude:

    https://peopleanalyst.com/mcp

    1. Откройте Claude (сайт claude.ai или приложение для компьютера).
    2. Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
    3. Нажмите Добавить пользовательский коннектор (Add custom connector).
    4. Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
    5. В чате нажмите + → Коннекторы и включите новый коннектор.

    Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.

    Авторизация

    После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.

    Как подключить discovery к ChatGPT

    Адрес сервера, который нужно вставить в настройках ChatGPT:

    https://peopleanalyst.com/mcp

    1. Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
    2. Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
    3. Откройте Настройки → Коннекторы и нажмите Создать (Create).
    4. Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
    5. В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
    6. В новом чате откройте + → Приложения/Коннекторы и включите коннектор.

    Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.

    Авторизация

    При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.

    Как подключить discovery к Cursor

    Адрес сервера, который нужно вставить в настройках Cursor:

    https://peopleanalyst.com/mcp

    Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.

    Вручную:

    1. В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
    2. Вставьте JSON, скопированный ниже, в открывшийся файл ~/.cursor/mcp.json (для одного проекта: .cursor/mcp.json в корне проекта).
    3. Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.

    Авторизация

    Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.

    Список инструментов сервера (17)

    Технические названия из tools/list. Нужны только разработчикам.

    list_peopleanalyst_feedsList PeopleAnalyst's free machine-readable feeds and their MCP/REST availability. OpenAPI is also published at https://peopleanalyst.com/openapi.json.
    get_membership_offerReturns the people analytics chapter of the Bicycle Cooperative membership offer: five options (enterprise member, practitioner member, worker, practitioner rent, enterprise rent) with chapter substitution applied and this front's join URL.
    list_answersReturns 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.
    get_answerReturns 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-analytics-vs-hr-reporting, engagement-survey-vs-listening-diagnostic, people-analytics-tools-compare, beyond-annual-engagement-survey, replace-gut-feel-talent-decisions, ….
    get_product_descriptionMachine-readable description of each PeopleAnalyst product. Versioned, CORS-open descriptions of every product in the portfolio — name, category, oneLiner, problemFrames, capabilities, beachheads, whenNotToUse (honest disqualifiers), canonicalUrls, relatedProducts. Assembled from canon. Pass ?product to filter.
    get_marketing_registryThe 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_brandscriptsPer-persona StoryBrand arguments for each product. The persona-level argument layer (SB7-shaped): the major problem solved for a persona and what the solution looks like. ?product / ?persona filter; ?status opts into drafts.
    get_story_tracksPre-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 is decided against data. ?persona / ?problem / ?metric / ?slug filter.
    get_scene_templatesFalsifiable 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 ?status=all.
    get_canonical_formsThe 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 a labelled heuristic, never a conclusion.
    get_claim_warrantHow 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 incentives, fashion and citation cascades, so it is reported as 'discussed in N works' and never as corroboration, confidence, or a score. Single-work claims are returned, labelled as such; corroboration is not a gate. No query returns corpus-level stats including a counting discrepancy we state openly.
    get_library_idsLibrary 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 catalog without string matching. Scoped to works homed here — titles whose canonical home is another property are excluded, matching /library.
    run_segmentationBehavioral 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, video, or affect inference. The caller supplies all data; nothing is retained. Capped at 5,000 rows per request.
    plan_next_data_askWhat 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 versus what needs legal review. Ranked by information-per-friction: how evenly an answer splits the live hypothesis set (computed by entropy from the discrimination matrix, never hand-asserted) divided by a cost in which GOVERNANCE outweighs effort. Absent priors all live stories weigh equally, so results reflect structure, not likelihood. GET accepts ?live=, ?have=, ?lack= as comma lists.
    get_insight_cardsA 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_situationsDemonstration scenarios (discovered → diagnosed → solved). The proof layer paired with brandscripts: concrete situations a product resolves. ?product filters; ?status opts into drafts.
    get_toolsThe PeopleAnalyst tool catalog (each answer reports its grounding). Machine-readable catalog of acting tools — name, category, what it does, inputs/outputs, concrete use cases, the profile URL, and how to run it (auth-gated REST + MCP). Each Bicycle answer reports provenance.grounding. Production currently reports grounded: false (HO-2512); approach strings describe the designed product, not the last production run. Discovery is open (find + cite the tools); execution is API-key gated. ?category filters by family; ?slug returns one tool.