MCP server

ATSPrep

io.github.Devabubakar/atsprep

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Free resume tools: ATS score, job match, bullet and LinkedIn checks, tailoring, interview prep.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

19

Token cost

About 5,923 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 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 atsprep https://atsprep.com/mcp

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

Grok (xAI API tools)

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

Tools

• action_verbs ~177 tokens
  Use this when the user wants stronger verbs or synonyms for resume wording. Suggest resume action verbs. Pass a weak opener ("responsible for", "helped") for direct swaps and why they read weak, or the work in plain words ("trained new staff", "cut costs") for the matching verb groups with an exampl
• check_bullets ~282 tokens
  Use this when the user wants a few resume bullet points checked without sending the whole resume. Give each resume bullet a score, a verdict and specific fixes with stable codes: weak openers, missing scale or result, numbers that show neither, hard-to-believe claims, first person, vague claims. The
• check_linkedin_about ~193 tokens
  Use this when the user wants their LinkedIn About or summary section reviewed. Check a LinkedIn About section: what shows before "see more" on a phone and on a computer, whether the opening says who they are, results with numbers, buzzwords, a clear next step, and the 2,600-character limit.
• check_linkedin_headline ~246 tokens
  Use this when the user wants their existing LinkedIn headline reviewed. Check a LinkedIn headline: length against the 220-character limit, what shows in search results before the cut, whether it leads with a searchable job title, and buzzwords or vague claims to replace.
• check_resume ~510 tokens
  Use this when the user shares a resume (pasted text or a file's text) and wants it checked, scored, reviewed for ATS problems, or wants to know what to fix. Score a resume from 0 to 100 with ATSPrep's fixed rules and list each issue with a stable code, where it is and how to fix it. Also reports how
• draft_cover_letter ~545 tokens
  Use this when the user wants a cover letter for a job. Draft a cover letter from the user's resume and the job posting with fixed rules: name, contact details and up to two results from the resume, the job title and top keywords from the posting. Facts that are missing show as [square-bracket] gaps
• draft_resignation_letter ~523 tokens
  Use this when the user wants to resign and needs a resignation letter or their last working day. Draft a short, professional resignation letter and work out the last working day from the notice period. Missing facts show as [square-bracket] gaps. Returns the letter, the last day and a checklist (not
• fetch_job_post ~212 tokens
  Use this when the user gives a job posting link instead of its text; then pass the result to the job tools. Read a public job posting from its link and return the title, company, location and full description as plain text, ready for match_job, tailor_resume, keyword_scan or interview_questions. Rea
• generate_linkedin_headline ~372 tokens
  Use this when the user wants new LinkedIn headline ideas. Write LinkedIn headline options from the user's answers, each in a proven pattern (title and focus, title and result, title and who you help…), with its length and roughly what shows in search before the cut. Uses only the answers given.
• improve_bullet ~300 tokens
  Use this when the user wants one resume bullet rewritten or made stronger. Check one resume bullet with the fixed rules (score, verdict, fixes) and suggest up to three stronger rewrites that keep every fact as given. ask_user names the one fact to ask the user for; never invent it. Part of the answe
• interview_questions ~312 tokens
  Use this when the user is preparing for an interview and wants likely questions, for a specific job or in general. Interview questions to practise, each with what the interviewer is listening for, plus STAR answer tips. With a job_description, questions come from its skills and duties, along with wh
• keyword_scan ~225 tokens
  Use this when the user has only a job posting (no resume yet) and wants its key skills and keywords. List the skills, tools and requirements a job posting asks for, ranked by how hard it leans on each (repetition, position, required or preferred headings), with the high-priority ones flagged. Use ma
• list_templates ~102 tokens
  Use this when the user asks for resume templates, designs or example resumes for a role. List ATSPrep's resume designs, each with a link that opens Studio in that design, and the example resumes by role, each with a link that opens it in Studio and a preview image.
• match_job ~319 tokens
  Use this when the user has a resume and a job posting and asks how well they match, what keywords are missing, or whether to apply. For rewrites, use tailor_resume instead. Compare a resume with a job posting: the posting's keywords found in the resume (with how they matched: exact, normalized, alia
• open_in_studio ~180 tokens
  Use this when the user wants to edit their resume in an editor, apply a template, or download it as a PDF or Word file. Make a link that opens this resume in ATSPrep Studio, the free editor, so the user can fix it, pick a template and download a PDF. The text travels in the link's #fragment, which i
• review_interview_answer ~409 tokens
  Use this when the user gives an answer to an interview question and wants feedback on it. Review the user's answer to an interview question: a rating, length and speaking time, STAR coverage for stories, filler words, specific checks, the follow-up an interviewer would likely ask, and a stronger ver
• suggest_roles ~330 tokens
  Use this when the user asks what jobs or roles they could apply for, or what their resume fits. Read the resume against what postings for each of 35 roles (office, health, retail, hospitality, trades, tech, sales, design and more) usually ask for, phrased as postings in Kenya, the Gulf, India, the U
• tailor_resume ~402 tokens
  Use this when the user wants their resume rewritten or tailored for a specific job posting. Tailor a resume to a job posting: the posting's keywords the resume is missing (from match_job's rules) and suggested rewrites of the user's own summary and bullets that bring in the posting's terms only wher
• write_summary ~284 tokens
  Use this when the user wants a resume summary or professional profile written from their resume. Draft professional summaries from a resume: rule-based drafts built from its title, skills and the bullets that carry a figure, plus AI drafts that use only facts in the resume. Part of the answer is dra

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