workorai

workorai: биржа найма с подбором кандидатов и вакансий через ассистента

От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

  • Искать вакансии и подавать заявки от имени кандидата
  • Управлять сохранёнными вакансиями и приглашениями
  • Создавать, публиковать и закрывать вакансии для работодателя
  • Искать кандидатов по вакансии или запросу
  • Просматривать список откликов и менять статус рассмотрения

Какие данные видит

Ассистент видит вакансии, заявки и профили кандидатов в рамках роли — кандидата или работодателя.

Нужен ли аккаунт

Не нужен: сервер работает без входа

workorai — MCP-сервер маркетплейса найма. Кандидаты могут искать вакансии, откликаться и следить за заявками, а работодатели — создавать вакансии, искать кандидатов по критериям и управлять откликами через ассистента.

Как подключить

Как подключить workorai к Claude

Адрес сервера, который нужно вставить в настройках Claude:

https://workorai.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 workorai к ChatGPT

Адрес сервера, который нужно вставить в настройках ChatGPT:

https://workorai.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 workorai к Cursor

Адрес сервера, который нужно вставить в настройках Cursor:

https://workorai.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 (29)

Технические названия из tools/list. Нужны только разработчикам.

request_accessUse when someone wants to find work/jobs (candidate) or hire/find candidates (employer) but the authenticated role tools are not usable yet. Explains role-specific onboarding (candidate profile interview, employer key generation), MCP key location, and next steps for both surfaces.
candidate.search_jobsSemantically rank published jobs against the authenticated candidate profile (embedding-based fit). Optional tier (best|good|weak) narrows to a match-quality band — start with tier:'best' for the strongest fits and cascade only if needed; omit for the full ranked list (read tierCounts for the band sizes). Each scored row carries matchExplanation (the white-box 'why': fit score, the candidate's skills that match the job's required set, and a rationale). A free-text `q`, or a candidate who has not completed an interview yet, instead browses published jobs by recency — those rows carry NO fit score (`matchScore` is `null`, no bands); treat them as a browse list, not a ranking.
candidate.get_jobFetch a single published job by id.
candidate.get_applicationsList the candidate's own job applications (newest first) with status, dates, the originating interview score, and a job summary. Returns only the caller's applications — no jobId input, so it is not an enumeration surface.
candidate.set_saved_jobSet whether a PUBLISHED job is in the candidate's saved list (idempotent desired-state, NOT a toggle — pass saved:true to bookmark, saved:false to remove). Returns NOT_FOUND for a missing or non-public job.
candidate.get_saved_jobsList the candidate's saved (bookmarked) jobs, newest first. Only currently PUBLISHED jobs are returned — a job saved earlier then closed/archived is omitted.
candidate.accept_invitationAccept an employer's invitation to a job (INVITED -> APPLIED). Idempotent — accepting an already-accepted invite succeeds. Returns NOT_INVITED when there is no open invitation (e.g. already withdrawn/declined), and NOT_FOUND when the job/invite is not found or the job is no longer public.
candidate.decline_invitationDecline an employer's invitation to a job (INVITED -> DECLINED). TERMINAL — a declined invite blocks any re-invite from the employer, so only decline when the candidate is sure. Idempotent (declining again succeeds). Returns NOT_INVITED when there is no open invitation, NOT_FOUND when the job/invite is not found.
candidate.withdraw_applicationWithdraw the candidate's active application to a job (APPLIED -> WITHDRAWN). Idempotent (withdrawing again succeeds). Returns NOT_APPLIED when there is no active application (e.g. only an open invitation, or already declined), and NOT_FOUND when no application exists for the job.
candidate.apply_to_jobApply the candidate to a PUBLISHED job, reusing their evaluated profile interview as evidence. Idempotent (re-applying succeeds; `reused` is true when an application row already existed). Requires a completed + evaluated interview — otherwise returns GATE_LOCKED / GATE_EVALUATING / GATE_FAILED. A missing or non-public job returns NOT_FOUND.
employer.list_jobsList jobs owned by the current employer account.
employer.get_jobFetch a single employer job record by id. Returns NOT_FOUND for missing jobs and for jobs owned by another employer (no existence leak).
employer.create_jobParse raw text via Gemini AI and create a DRAFT job under the current employer. Synchronous: latency 5-30s. The agent can then call employer.update_job to refine fields and employer.publish_job to make it live.
employer.update_jobUpdate the fields of an existing employer job. Accepts a partial whitelist; rawInput and dataSource are not editable (the wrapper auto-flips dataSource to USER_EDITED on every agent update). Non-owner reads return NOT_FOUND.
employer.publish_jobTransition a DRAFT job to PUBLISHED. Returns NOT_FOUND for missing or non-owner jobs and CONFLICT when the job is not in DRAFT.
employer.close_jobTransition a PUBLISHED job to CLOSED. Returns NOT_FOUND for missing or non-owner jobs and CONFLICT when the job is not in PUBLISHED.
employer.archive_jobTransition a CLOSED job to ARCHIVED. Returns NOT_FOUND for missing or non-owner jobs and CONFLICT when the job is not in CLOSED.
employer.delete_jobPermanently delete a DRAFT job that was never published. Returns NOT_FOUND for missing or non-owner jobs and CONFLICT when the job is not in DRAFT.
employer.search_candidates_for_jobSemantically rank discoverable (interviewed) candidates against one of the employer's own jobs, with a per-candidate fit score AND a white-box explanation. WORKFLOW for finding the best hire: 1) call with tier:'best' to get the strongest candidates (cover the required skills + proven in interview), cascade to tier:'good' then tier:'weak' only if you need more (read tierCounts to decide; paginate within a band via page.hasMore, not page.total); 2) each row carries matchExplanation — the white-box 'why' (the fit score, the skills the candidate PROVED in their interview, what they're missing, and a plain-English rationale) — use it to explain your shortlist on OUR data, not a black box; 3) for the few you shortlist, call employer.get_candidate_evidence(jobId, userId) for the interview facts + Q&A to write a deeper comparative review. Omit tier for the full ranked pool (back-compat). Returns NOT_FOUND when the job is missing / owned by another employer (no existence leak), or NOT_INDEXED / NO_CATEGORIES when the job is not indexed for semantic search yet (re-save / republish, then retry).
employer.search_candidates_by_queryFree-form semantic search across discoverable (interviewed) candidates with no job context. The query is embedded and candidates are ranked by semantic similarity — a preliminary search with no per-vacancy fit score (there is no vacancy to fit). For a scored ranking, use employer.search_candidates_for_job with a job id.
employer.get_candidateFetch a discoverable candidate by user id. Returns search-entry shape plus a light interview slice (overallScore + summary + completedAt + evaluatedAt) and `existingApplications`: every JobApplication this candidate has on any of the employer's jobs (all 4 statuses, all 4 job statuses) so the agent can decide whether re-inviting will succeed. Heavy artefacts (transcript, facts, resume, github, linkedin) live behind employer.get_applicant_detail and require an application.
employer.get_candidate_evidenceFetch the interview EVIDENCE (facts proven in the interview + their Q&A, the interview summary, the résumé summary, and GitHub/LinkedIn signals) for ONE candidate AGAINST one of your published jobs — the white-box basis to explain WHY a candidate ranks where they do. Use it AFTER search_candidates_for_job: shortlist with the scorecard, then read the evidence here for the few you care about and write your own comparative review. Returns NOT_FOUND if the job is missing / not yours / not published, or the candidate is not in that job's searchable pool.
employer.invite_candidateInvite a discoverable candidate to one of the employer's PUBLISHED jobs. Creates a JobApplication with status=INVITED. If a prior WITHDRAWN row exists for this (candidate, job) pair, the row is UPDATEd back to INVITED (re-invite is allowed after the candidate withdrew on their own). INVITED, APPLIED, and DECLINED rows still block with INVITE_BLOCKED: INVITE_NOT_ALLOWED. Inspect `existingApplications` on employer.get_candidate before calling to know which case applies. Returns INVITE_BLOCKED with one of several sub-reasons (JOB_NOT_FOUND, JOB_NOT_PUBLISHED, CANDIDATE_NOT_FOUND, NOT_DISCOVERABLE, INVITE_NOT_ALLOWED) when the invite cannot be created. A missing vacancy and a vacancy owned by another employer both return JOB_NOT_FOUND (you cannot tell them apart — anti-enumeration).
employer.list_applicantsList the live (APPLIED) applicants on one of the employer's jobs. The candidate showcase + interview overallScore/summary are always returned; contact fields are only included when the application is SHORTLISTED or HIRED.
employer.set_review_statusUpdate the employer review state on an application (NEW / REVIEWING / SHORTLISTED / REJECTED / HIRED). SHORTLISTED and HIRED unlock the candidate's direct contact in subsequent list_applicants / get_applicant_detail calls. WITHDRAWN applications surface as CONFLICT.
employer.get_applicant_detailFull applicant bundle: resume, interview light slice (overallScore + summary + facts), GitHub analysis, LinkedIn analysis. The verbatim transcript is delivered by employer.get_applicant_transcript; the resume's contact fields are blanked unless the application is SHORTLISTED or HIRED.
employer.get_applicant_transcriptVerbatim interview transcript for one applicant. Ownership-only gate (same as the UI Download button — no SHORTLISTED/HIRED requirement). Returns an empty array when the source interview never produced turns.
employer.list_invitationsList the pending (INVITED) candidates on one of the employer's jobs — candidates who have been invited but have not yet accepted or declined.
employer.cancel_invitationCancel a pending invitation sent to a candidate. The invitation record is deleted; the employer can re-invite the same candidate later.