MCP server
PM Career Desk Official
com.pmcareerdesk/interview-coach
Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools
Resume, LinkedIn and interview practice tools for project, program and product managers.
Working at last checkVerified publisher: pmcareerdesk.comAbout 11,647 tokens per request once connected19 tools
https://app.pmcareerdesk.com/mcp
At a glance
- Type
- MCP server
- Publisher
- pmcareerdesk.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 19
- Token cost
- About 11,647 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 28 Oct 2026, 09:03 UTC
Connect it to your agent
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 interview-coach https://app.pmcareerdesk.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.interview-coach] url = "https://app.pmcareerdesk.com/mcp"
Gemini CLI
{"mcpServers":{"interview-coach":{"httpUrl":"https://app.pmcareerdesk.com/mcp"}}}
Cursor
{"mcpServers":{"interview-coach":{"url":"https://app.pmcareerdesk.com/mcp"}}}
VS Code
{"servers":{"interview-coach":{"type":"http","url":"https://app.pmcareerdesk.com/mcp"}}}
Antigravity
agy mcp add interview-coach https://app.pmcareerdesk.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":"interview-coach","server_url":"https://app.pmcareerdesk.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"interview-coach","server_url":"https://app.pmcareerdesk.com/mcp"}
Tools
answer_mock_question~555 tokens
Records the person's answer to the current question of a mock interview and checks its structure with the rules of check_interview_answer. Returns a compact verdict and what comes next: a follow-up probe for what the answer does not show (own action, a result in numbers, the figure before, one specibuild_story_bank~339 tokens
Builds 10 to 15 STAR interview stories (situation, task, action, result) from the resume text of a project, program or product manager: each story uses only the resume's own lines and figures, names the competencies it shows (conflict, risk, vendor management, stakeholder management, influence withocheck_interview_answer~663 tokens
Checks the structure of one practice answer to an interview question. Use it when the person writes or pastes an answer and wants feedback before the interview. Checks for a situation, the speaker's own action in the first person, a result, a before and after figure or a named record, vague amounts,check_linkedin_profile~759 tokens
Checks the LinkedIn headline and About section (and, optionally, the top experience entry) of a project, program or product manager, TPM or PMO lead. Use it when someone asks to review or improve their LinkedIn profile for recruiters. Checks the 220 character headline limit, the role title and searccheck_resume_line~459 tokens
Checks one resume bullet of a project, program or product manager, TPM or PMO lead with rules written by practitioners. Use it when someone asks about a single line or wants to test a rewrite of it. Returns one finding and the question a hiring manager may ask about that line. 5 words to 500 charactdraft_30_60_90_plan~390 tokens
Drafts a 30-60-90 day plan skeleton for one job posting: what to learn in the first 30 days (the stakeholders and systems the posting names, a delivery health check), quick wins by day 60 tied to the problems the posting states, and day 90 goals written as targets for the person to set. Each item naexport_prep_pack~1125 tokens
Builds the full interview plan (as prepare_interview_plan) as a Word file (.docx): the questions by interview stage with the points a strong answer includes, the requirement map and the gaps, and the answer texts the person kept with save_practice. Returns a download link that works once and expiresfinish_mock_interview~369 tokens
Ends a mock interview and returns the scorecard: each competency met, partly or not shown (from the structure checks), and the three questions to practise next with their ids. Saves the progress of each checked answer (question id, checks met, word count) to the practice of the account, deleted afteget_pm_archetype_test~95 tokens
Returns the 10 questions of the PM Archetype test for project, program and product managers, each with six options labelled A to F. For reflection, not a psychometric or hiring assessment.get_pm_title_fit_questions~97 tokens
Returns the 9 questions of the title fit check, which compares project manager, program manager and technical program manager for a person's current work. Options are labelled a to d.get_practice~208 tokens
Returns the practice attempts saved on the signed-in account, newest first (up to 50), with a summary per question: attempts, the best number of structure checks met, the last date. Kept answer texts are included only with include_answer_text true. Requires sign-in with a PM Career Desk account thatmatch_pm_title~192 tokens
Scores the 9 title fit answers (a to d, in question order, as returned by get_pm_title_fit_questions) and returns the closest title among project manager, program manager and technical program manager, with what hiring managers usually look for under that title. Nothing is stored.match_resume_to_job~1067 tokens
Matches a job posting to a resume of a project, program or product manager, TPM, PMO lead or business analyst. Use it when someone asks whether they fit a posting, what is missing, or how to tailor their resume to it. Returns each requirement of the posting as covered, partial, gap or not checked, wprepare_interview_plan~1265 tokens
Builds the full interview plan for a project, program or product manager (or a business analyst) from the resume text and, optionally, a job posting and a company name: every resume line a hiring manager is likely to press on, every requirement of the posting matched to the resume, every company queprepare_interview_questions~1468 tokens
Builds a job interview prep set for a project, program or product manager, TPM, PMO lead or business analyst from their resume text and, if they have it, the job posting. Use it when someone shares a resume (pasted or attached) before an interview, or asks what a hiring manager will ask them. Returnreview_resume~402 tokens
Reviews a whole resume of a project, program or product manager, TPM, PMO lead or business analyst, line by line, with rules written by practitioners. Use it when someone shares their resume and asks for a review, feedback, or what to fix before applying. Returns up to 12 lines in the order of risksave_practice~662 tokens
Saves one practice answer attempt to the signed-in account, when the person asks to save it. The answer is checked with the same structure rules as check_interview_answer; by default only the progress is saved (question id and type, structure checks met, word count, date). The answer text and the quscore_pm_archetype~211 tokens
Scores the PM Archetype test from 10 answer letters (A to F, in question order, as returned by get_pm_archetype_test). Returns the primary archetype, an optional secondary streak, strengths, a blind spot and one resume fix. Nothing is stored.start_mock_interview~1321 tokens
Starts a mock interview for a project, program or product manager (or a business analyst) from the resume text and, optionally, a job posting and a company name. Picks 5 to 10 questions for one interview stage (screen, hiring_manager, panel or final) from the resume lines, the requirements of the po
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