MCP server

Keywordise Official

com.keywordise/keywordise

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

Auto-apply to jobs: matches your CV, tailors a fresh CV per posting, and applies for you.

Website

At a glance

Type

MCP server

Publisher

keywordise.com (verified by the MCP Registry)

Status

Working at last check

Tools

69

Token cost

About 9,440 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 keywordise https://keywordise.com/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"keywordise":{"httpUrl":"https://keywordise.com/mcp"}}}

Cursor

{"mcpServers":{"keywordise":{"url":"https://keywordise.com/mcp"}}}

VS Code

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

Antigravity

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

Grok (xAI API tools)

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

Tools

• answer_screening_question ~176 tokens
  Record the person's answer to one screening question on one application. The answer is written in the person's name and saved to their answer book, so the same question is never asked again. When it is the last required answer, the application is SUBMITTED to the employer. Only give an answer the pe
• apply_to_live_job ~190 tokens
  Use after search_live_jobs when the person picks one of the results to apply to. The same as apply_to_public_job, for a pool_job_id: puts the job into the person's matches and starts the application for that ONE job, which SUBMITS in the person's name. Needs the saved CV, a confirmed email and an ac
• apply_to_public_job ~273 tokens
  Use for 'Apply to Keywordise job abcde23456' or when the person asks to apply to a job from keywordise.com/jobs. Finds that job, puts it into the person's matches and starts the same application as the Apply button for that ONE job: tailors the CV and cover letter, answers the employer's questions a
• approve_application ~173 tokens
  The Send button of the review screen: SUBMITS an application that is waiting for review (get_application_review says editable), in the person's name. `edits` maps a field's label exactly as get_application_review shows it to the new answer; edits are saved to the person's answer book. Use only with
• cancel_subscription ~80 tokens
  Cancel the Pro subscription at the end of the current billing period. Access stays until then. Irreversible from here; the person can resubscribe later.
• claim_referral_code ~113 tokens
  Record that the person was referred by the owner of a referral code, for the discount and the friend's credit. Allowed once, before the first payment; fails with the app's own sentence otherwise.
• create_account Changes accounts · ~212 tokens
  Register a new Keywordise account from the terminal and receive an API key for it. Requires accept_terms=true: the person accepts the Terms and Privacy Policy (https://keywordise.com/terms) and authorises Keywordise to apply for jobs on their behalf. A confirmation email is sent; applying opens once
• create_api_key Changes accounts · ~79 tokens
  Mint an additional API key for this account, for another machine or assistant. Shown once. Five active keys maximum.
• delete_my_account Deletes data · ~105 tokens
  Erase the account and everything in it: profile, CV files, matches, applications, answers, keys. Irreversible. Requires confirm_email equal to the account's address.
• delete_saved_answer Deletes data · ~74 tokens
  Remove one answer from the answer book (an answer_id from list_saved_answers).
• describe_what_i_want ~214 tokens
  Use when the person says what they are looking for in their own words ('senior remote data roles in the US, no agencies'). Turn a plain sentence ('remote data roles in Germany or the Netherlands, senior, not agencies') plus the saved CV into concrete targeting rules. Returns the inferred rules and t
• explain_job_match ~174 tokens
  Use for 'is this job a good fit', 'why this match', 'what am I missing for this role'. For one vacancy: the match percentage, the requirements this account's CV covers and the ones it is missing. With narrative=true, also a short written assessment with strengths and gaps (a paid model call; limited
• export_my_data ~96 tokens
  The account's complete data as one JSON file (profile, targeting, matched jobs, applications, saved answers, run history, audit trail). Returned as a file; large accounts are told to download it in the app instead.
• get_account ~84 tokens
  The account behind this key: email and whether it is confirmed, plan state (trial days left, applications used and remaining, subscription), and how many API keys are active.
• get_application_details ~124 tokens
  The facts application forms ask beyond the CV: address, postcode, city, country, phone type, salutation, work authorisation by region, sponsorship, salary expectation, standard screening answers, and which of them are still missing. Read before telling the person what an application may be waiting f
• get_application_review ~126 tokens
  For one application: every field of the form with its value and where the value came from (the CV, a saved answer, the person, or a model). For an application that waits for the person's review (`editable`), these are the answers about to be sent.
• get_apply_run_status ~87 tokens
  Live progress of the latest run: running or not (from a heartbeat, not a status claim), processed of total, the job being worked on now, confirmed, needs review, skipped, closed.
• get_billing_portal_link ~77 tokens
  A link to the payment provider's customer portal for this account's subscription, where invoices, the payment method and cancellation live.
• get_external_pack_pdf ~103 tokens
  The tailored CV or the cover letter PDF written by prepare_external_application for one job, returned as a file.
• get_feed_reach ~97 tokens
  How many jobs the current targeting shows versus how many each single rule is hiding, and which one change would widen the feed most. Every number comes from re-asking the feed's own predicate with one control relaxed.
• get_inbox_address ~88 tokens
  The email address Keywordise uses on the person's applications (employers reply to it), whether replies are also forwarded to their own mailbox, and whether applying by email is active.
• get_job_posting ~108 tokens
  The full description of one matched vacancy, with a short summary and highlights, plus the link that opens the posting from the app.
• get_live_job ~119 tokens
  The full posting text of one live job from search_live_jobs (pool_job_id): title, employer, place, date and the description. For a job in the person's own matches use get_job_posting.
• get_live_job_counts ~138 tokens
  Use for 'how many jobs are there' or before quoting a number. The size of the live job pool Keywordise can apply to right now, from the same measurement the keywordise.com homepage prints: all live jobs, how many were found in the last 30 days, how many employers, and how many of them Keywordise app
• get_match_status ~171 tokens
  Only for checking on a match or feed rebuild that is already running (after upload_cv, update_targeting or refresh_matches); to find or show jobs use list_matching_jobs. Live status of the latest match run (scanned, inserted, elapsed), the feed counts it produced, and `feed_build`: where the feed is
• get_my_cv_pdf ~99 tokens
  The account's base CV (the saved profile, untailored) rendered as a PDF in the chosen design, returned as a file. No model call.
• get_my_profile ~140 tokens
  Use when the person asks what is on their profile or CV. Not needed before searching or applying: those tools read the saved CV themselves. The CV profile Keywordise holds for this account (name, contact, summary, skills, roles, education), the job-targeting rules (countries, remote preference, keyw
• get_profile_gaps ~87 tokens
  The gaps in the saved profile that weaken applications (missing dates on a role, no contact phone, empty summary, …), each with a severity, so they can be fixed with update_profile.
• get_public_job ~192 tokens
  Use when the person gives a Keywordise job id (ten characters) or a keywordise.com/jobs link, for example 'tell me about job abcde23456'. Returns what the public page of that job shows: title, employer, place, date and a plain summary of the role. A job that has closed answers that it has closed. Ap
• get_referrals ~130 tokens
  Use for 'what is my referral code', 'how much did I earn from referrals', 'who signed up through me'. The person's referral code and link, the share they earn (and the discount a friend gets), their stats (signups, paying customers, earned, pending, paid out), recent commissions and payouts, and whe
• get_sent_cv_pdf ~78 tokens
  The tailored CV PDF that went to the employer for one application, returned as a file.
• get_targeting ~121 tokens
  Every targeting rule the feed and the apply run obey: remote mode, geo scope and countries, locations, include/exclude keywords, title allow/block lists, seniority, salary, languages, work authorisation, company allow/block, daily and per-company caps, cover-letter and CV settings, screening default
• get_tracker ~72 tokens
  The tracker board: applications grouped by the stage the person set (saved, applied, interview, offer, rejected) with their own notes.
• get_upgrade_link ~124 tokens
  A checkout link for a paid plan from the active payment provider: Starter ($24.99/month, 500 applications a month) or Pro ($49/month, 1,000 a month; the default). The person opens it in a browser to pay; the account upgrades automatically when the payment lands.
• list_api_keys ~62 tokens
  The active API keys on this account: prefix, label, created and last used. Never the key itself.
• list_blocking_questions ~137 tokens
  Questions employers asked on applications that are stalled until this account answers them, grouped by application, each with a suggested answer drawn from what the person answered before. Answer with answer_screening_question.
• list_countries_with_jobs ~74 tokens
  The countries the live pool actually has inventory in (ISO-2, name, job count), for choosing geo_countries in update_targeting.
• list_cv_designs ~58 tokens
  The CV designs a tailored CV can be rendered in, with the account's current pick.
• list_cv_profiles ~106 tokens
  Use for 'which CVs do I have', 'is my CV uploaded'. The CVs on the account (a person can keep several; one is the default the matches and applications use) with their labels, plus `cv_state`: whether a usable CV is held and why not when it is not.
• list_facts_to_provide ~96 tokens
  The universal screening facts this account has not answered yet (right to work, notice period, salary expectation, …), ranked by how many waiting applications each one unblocks. Answer them with save_answer.
• list_hidden_jobs ~57 tokens
  The jobs this account hid or disliked, newest first, so one can be put back.
• list_inbox ~134 tokens
  Use for 'any replies?', 'did anyone get back to me?'. The person's Inbox: one thread per application with the employer's results (interview invitations, rejections, requests), unread count, newest first. Read one with read_inbox_message.
• list_matching_jobs ~457 tokens
  Use when the person wants jobs or their best matches: 'find me jobs', 'my top matches', 'remote marketing jobs that fit my resume', 'what's new for me this week'. It already uses the saved CV, so there is no need to read the profile first. Live vacancies matched to this account's CV, ranked. Each jo
• list_my_applications ~187 tokens
  Use for 'what did I apply to', 'any replies', 'status of my applications'. Every application sent for this account: company, title, stage, outcome, when it went out, how many screening questions it still waits on, and the employer's acknowledgement where one was received.
• list_run_history ~61 tokens
  The last five match runs and the last five application runs, with their counts and status.
• list_saved_answers ~78 tokens
  The answer book: every screening answer this account has given or taught, which future applications reuse automatically in any phrasing or language.
• login ~160 tokens
  Exchange the account's email and password for a new API key, so a terminal or an assistant can act on the account. The key is shown once; keep it. Up to five keys may be active per account (revoke_api_key frees a slot).
• move_tracker_card ~105 tokens
  Set the tracker stage of one application: saved, applied, interview, offer or rejected.
• prepare_external_application ~192 tokens
  For a job the app marks as applied on the employer's own site (apply_to_public_job / start_apply_run answer that they do not apply there for the person): tailors the person's CV and writes the cover letter for that one job, on request, using no application credit. Returns the cover letter text; fetc
• preview_tailored_cv ~189 tokens
  Use for 'tailor my resume for this job' or 'what would you send for this one'. Rewrite this account's CV for one vacancy the way Keywordise would send it: headline, summary, the roles selected for this job with rewritten bullets, curated skills and a cover letter, every segment labelled tailored, ve
• rate_job ~149 tokens
  Feedback on one job: hide or dislike removes it from the feed and teaches the matcher what this person rejects; interested is a positive signal. Undo with unhide_job.
• read_inbox_message ~97 tokens
  The full text of one Inbox message (from list_inbox), the employer's reply thread, and any verification code or link in it. Reading marks the message as read.
• refresh_matches ~199 tokens
  Match the account's CV against the vacancies added since it last looked, in the background. Idempotent and cheap when nothing is new. force=true runs a full re-match regardless. rebuild=true rebuilds the feed from scratch through the same build as the app's Rebuild button (use it when the feed looks
• reply_to_inbox_message Sends messages · ~132 tokens
  SENDS an email to the employer in the person's name, as a reply to one Inbox message. Use only with the person's approval of the exact text. Fails with the app's own sentence when the message is not found or the text is empty.
• resend_verification_email Sends messages · ~76 tokens
  Send the email-confirmation link again to this account's address. Applying is blocked until the address is confirmed; nothing else is.
• revoke_api_key Changes accounts · ~106 tokens
  Revoke one of this account's API keys immediately. Any terminal or assistant using it stops working at once. Revoking the key you are calling with ends this session.
• save_answer ~191 tokens
  Add or replace a screening answer in the answer book ('What is your notice period?' → '1 month'). Applications already waiting on that fact are completed and sent in the background. Only save what the person actually stated.
• search_live_jobs ~345 tokens
  Use for 'find remote data engineer jobs', 'nursing jobs in Germany', 'what is new in marketing this week'. Searches the WHOLE live job pool (about two million open jobs), not only the person's matches, and needs no CV. Words must all appear in the title, employer or description. Filters: remote only
• set_cv_design ~74 tokens
  Set the design every tailored CV is rendered in (a key from list_cv_designs).
• set_referral_code ~107 tokens
  Set or change the person's own referral code (letters, digits and dashes, shown in their referral link). Fails with the app's own sentence when the code is taken or not allowed.
• set_tracker_note ~95 tokens
  Replace the person's own note on one tracked application (interview date, contact, next step).
• start_apply_run ~380 tokens
  Use when the person says 'apply for me', 'apply to the best matches' or 'apply to this job' (pass job_id). Show them the jobs first. Start an application run: Keywordise takes up to `limit` of the matching jobs (same filters as list_matching_jobs, best fit first, never one already applied to), tailo
• stop_apply_run ~84 tokens
  Use for 'stop applying', 'pause', 'hold off'. Ask the running application run to stop after the job it is on. Nothing is left half-done; applications already sent stay sent.
• suggest_keywords ~81 tokens
  Search keywords derived from the saved profile, useful as include_keywords in update_targeting (jobs that mention one are ranked first; nothing is filtered out).
• unhide_job ~93 tokens
  Undo hide or dislike: the job returns to the feed and the negative signal is dropped.
• update_application_details ~172 tokens
  Change some of the application details. Only the fields given change; an empty string clears a field. Fields: salutation, address, postcode, city, state, country (two-letter code), phone_type (mobile, home or work), work_auth (object such as {"eu": true}), sponsorship (list of regions), salary_expec
• update_profile ~163 tokens
  Change fields of the saved profile without re-uploading the CV. Send only the fields to change (full_name, contact_email, phone, location, city, address, postcode, professional_summary, skills, pinned_skills, languages, experience, education, projects, certifications, links, …); everything else is u
• update_targeting ~198 tokens
  Change targeting rules; send only the keys to change (remote_mode any|remote|hybrid|onsite, geo_scope worldwide|region|country, geo_countries [ISO-2], locations, include_keywords, exclude_keywords, title_allow, title_block, seniority, salary_min, currency, languages, company_block, max_apps_per_day,
• upload_cv ~221 tokens
  Use when the person shares or mentions their resume/CV ('here's my resume', 'use my CV'). Upload a CV file and turn it into the account's profile: the same parser the app uses reads the document into name, contact, summary, roles, skills, languages and education. With save=true (default) the profile

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