Agentic Keychain

Agent Skill ROI Registry & Benchmarking.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

    Какие данные видит

    Нужен ли аккаунт

    Не нужен: сервер работает без входа

    Agent Skill ROI Registry & Benchmarking. It sells skills for log triage and repository mapping.

    Как подключить

    Как подключить Agentic Keychain к Claude

    Адрес сервера, который нужно вставить в настройках Claude:

    https://agentickeychain.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 Agentic Keychain к ChatGPT

    Адрес сервера, который нужно вставить в настройках ChatGPT:

    https://agentickeychain.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 Agentic Keychain к Cursor

    Адрес сервера, который нужно вставить в настройках Cursor:

    https://agentickeychain.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 (11)

    Технические названия из tools/list. Нужны только разработчикам.

    resolve_taskDescribe a task in plain words and get one compact answer: whether a registry capability is worth using for it, from registry-run benchmarks only, and the next step. Use when: you have a task and no capability name, and want one decision word (use, do_not_use, use_free_alternative, insufficient_evidence, blocked_by_constraints or no_match) with its reason codes. Not for: the full arithmetic, the offer and the operator message (evaluate_capability with the same inputs), a plain list of matches (search_capabilities) or a capability you can already name (get_capability). Input: task, plus optional model, expected_runs, baseline_cost_estimate_usd, context and constraints; any other field is refused with the allowed list. Output: ak.resolve.v1 with decision, capability id, reason codes, the measured saving per run with its interval or null, the estimate at your own baseline with its break-even runs or null, confidence, evidence label, price, free alternatives, next action, evaluation_id and the tool that gives the detail. do_not_use and no_match are normal answers.
    evaluate_capabilityDecide whether a registry capability is worth using or buying for your task, from registry-run benchmarks only. Use when: you have a task and want a recommend, do_not_recommend or undetermined answer with the arithmetic; name a capability to weigh only that one, or leave it out and the registry weighs its closest matches. Not for: one short answer without the arithmetic (resolve_task), a plain list of matches (search_capabilities), two to five named candidates side by side (compare_capabilities), or the break-even figures of one capability without a task (estimate_roi). Input: a plain task description; give model, expected_runs and baseline_cost_estimate_usd for a money estimate, and context for the conditions the capability declares. Output: ak.evaluation.v1 with decision, reasons, expected effect, price, confidence, operator_message, evaluation_id, next steps and an ak.offer.v1 offer (status, next_action, economics, the four evidence kinds listed apart). do_not_recommend is a normal answer.
    search_capabilitiesSearch capability names, summaries, tasks and use-when conditions by keywords, ranked by lexical relevance only, never by payment. Use when: you want to see which capabilities exist for a topic, or you know part of a name. Not for: deciding whether one fits your task (resolve_task, or evaluate_capability for the full arithmetic) or reading a capability you can already name (get_capability). Input: search words, at most 500 characters; no earlier call is needed. Output: ak.search.v1 with id, name, summary, relevance, state, price and the strongest evidence label of each result, and no decision.
    compare_capabilitiesAssess two to five named capabilities side by side for the same inputs, with the same method and ak.offer.v1 offer shape as evaluate_capability. Use when: you already hold a shortlist of capability ids and want each one's decision, reasons and offer in one answer. Not for: finding candidates (search_capabilities) or a single capability (evaluate_capability). Input: the capability ids, plus the optional task, model, expected_runs, baseline_cost_estimate_usd, context and constraints that evaluate_capability reads. Output: ak.comparison.v1 with the results ranked by decision, lower-bound net saving, relevance and capability id, each with its reasons and an ak.offer.v1 offer.
    estimate_roiPer measured model: expected saving per run, break-even runs and net saving over expected_runs, with intervals, for one capability and no task. Use when: you know the capability and want its economics on each model the registry measured. Not for: a use-or-not answer for a task (evaluate_capability) or several candidates (compare_capabilities). Input: a capability id; add model to keep one model, and expected_runs with baseline_cost_estimate_usd for an estimate at your scale. Output: ak.roi.v1 with one economics entry per measured model; break-even runs is null when the interval does not show a saving, and your estimate is left out where success is not accepted or your baseline lies outside the measured range.
    get_capabilityThe capability's card: purpose, use-when and do-not-use-when conditions, permissions, price, evidence summary, trust checks, links and a task-independent ak.offer.v1 offer. Use when: you can name a capability and want its facts, or want to check the conditions an evaluation asked about. Not for: an answer for your task (evaluate_capability) or the full benchmark records (get_benchmark). Input: a capability id, ak:// URI or slug, from a search, an evaluation or a page. Output: ak.capability.v1 with the card fields, parameters, versions, terms, evidence, trust and links.
    get_benchmarkRegistry-run benchmark summaries (labelled), publisher claims (labelled PUBLISHER CLAIMED) and the signed attestations of one capability. Use when: you want the measurements behind an answer (paired runs, model, fixtures, method) or want to check them yourself. Not for: an answer for your task (evaluate_capability) or artifact hashes and the log proof (get_provenance). Input: a capability id, ak:// URI or slug. Output: ak.benchmark.v1 with the evidence, the publisher claims, the attestations, the method and the limitations; publisher claims never decide anything.
    get_provenanceArtifact hash, manifest hash, signed publisher and registry attestations and a transparency-log inclusion proof for one capability. Use when: you want to check that a package is the one the registry published and signed. Not for: benchmark results (get_benchmark) or the card (get_capability). Input: a capability id, ak:// URI or slug. Output: ak.provenance.v1 with the hashes, the attestations, an RFC 9162 inclusion proof against the signed tree head, the trust checks and the keys URL.
    get_quoteA signed 15-minute price quote with the hosted checkout link. It charges nothing; a purchase requires operator approval in the hosted checkout. Use when: your operator wants the price and the checkout link of a capability that is for sale, for example after an evaluation answered recommend. Not for: deciding whether a capability is worth it (evaluate_capability); a free capability needs no quote. Input: the capability id and, if you evaluated first, the evaluation_id, which links the quote to that evaluation. Output: a quote_id and signed claims bound to the capability version, price, currency, terms and expiry, the checkout link and the unlock request; the price comes from the registry record only.
    unlock_capabilityExchange the license key from the checkout (a purchase requires operator approval) for a signed entitlement and a download link that lasts at most 15 minutes. How the key is handled: the privacy page at /legal/privacy/. Repeating it with the same key is safe and never charges. Use when: your operator completed the hosted checkout and gave you the license key. Not for: a price or a checkout link (get_quote); a free capability downloads from its page. Input: the capability id and the license key, plus quote_id and evaluation_id when you have them. Output: a signed entitlement, a purchase_ref for report_outcome and the download link.
    report_outcomeReport how a capability worked for you. Stored as AGENT REPORTED; it never changes evidence labels, trust or ranking. Only the listed fields are accepted; no task text is kept. Use when: you ran a capability, or decided not to, and can say whether the task succeeded. Not for: questions about a capability (get_capability, get_benchmark). Input: the capability id and success; add evaluation_id or purchase_ref to link the report, the optional token, tool-call, latency and cost counts, and failure_reason only with success false. Output: whether the report was stored, its label and, for a failed paid capability, the remedy policy.