mcp server
AI Applyd
ATS resume scoring, job analysis, interview prep, and auto-apply that verifies each submission.
Description as published by the maintainer. Source
- version 1.2.0
- active
- evaluation
active — Registry entry last updated 2026-07-28. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
10 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
aiapplyd_analyze_job_description(job_description)- Extract what a job posting actually screens on: the exact ATS keywords, must-have versus nice-to-have requirements, seniority signals, and red flags. Call this before tailoring a resume so the resume mirrors the posting's own language. Requires a connected AI Applyd account and uses the user's AI credits. Required: job_description.
aiapplyd_auto_apply(job_url)- Apply to ONE specific job posting end to end: the resume and cover letter are rewritten for that role, then the form is completed and submitted on the employer's own hiring system, not a job board. All twelve major ATS platforms land: Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor, Rippling, Breezy, SmartRecruiters. Follows the account's review setting: submits directly, or routes to the review queue. Requires a paid plan (Hired in 30+). Required: job_url.
aiapplyd_build_pdf(template, make_public, resume_text)- Build a formatted, ATS-clean resume from raw text in the user's AI Applyd resume builder, where it stays editable and downloads as a PDF. Templates: modern, classic, or minimal. Private to the account by default; set make_public to true only if the user explicitly asks for a shareable public link. Requires a paid plan (Hired in 30+). Required: resume_text.
aiapplyd_generate_cover_letter(company_name, job_description)- Write a cover letter for a specific job from the resume already saved on the user's AI Applyd account, in their own voice and free of recruiter cliches. Returns the finished letter and saves it to the account. Requires a paid plan (Hired in 30+). Required: job_description, company_name.
aiapplyd_generate_interview_questions(job_title, company_name, job_description)- Produce interview preparation for a specific role and company: company insights, the questions this role is asked with approach guidance, STAR scenarios drawn from the posting, talking points, questions to ask the interviewer, and salary negotiation prep. Requires a connected AI Applyd account. Required: job_title, company_name.
aiapplyd_optimize_resume(resume_text, job_description)- Rewrite a resume so it passes ATS screening. Returns the rewritten resume, a projected ATS score, and an itemised summary of every change made. Pass job_description to tailor the rewrite to one specific posting, or omit it for general ATS optimization. Requires a connected AI Applyd account. Required: resume_text.
aiapplyd_score_resume(resume_text, job_description)- Score a resume for ATS compatibility. Returns an overall score, section scores, the keywords the resume matches and the ones it is missing, and specific rewrite suggestions. Pass job_description to score against a posting, or omit it for a general ATS readiness score. Requires a connected AI Applyd account and uses the user's credits. Required: resume_text.
aiapplyd_search_jobs(location, job_title, remote_only)- Return the user's AI-curated job matches, filtered by title, location, and remote preference. Each match carries a match score, company, location, salary, extracted skills, and the application URL. Read-only: it never changes which roles AI Applyd hunts for (use aiapplyd_update_job_preferences for that). Requires a connected AI Applyd account. Required: job_title.
aiapplyd_translate_resume(target_language)- Translate the resume saved on the user's AI Applyd account into another language, ready to send to employers in that market. Saves the translation as a new resume and leaves the original unchanged. Requires a connected AI Applyd account. Required: target_language.
aiapplyd_update_job_preferences(locations, remote_only, target_roles)- Set the roles and locations AI Applyd hunts for on the user's behalf, and re-run discovery immediately. This REPLACES the target roles / locations currently saved on the account, so pass the complete list you want, not just an addition. Only call this when the user explicitly asks to change what they are looking for. Requires a connected AI Applyd account.
Last successful function declaration observed on . Source: https://mcp.aiapplyd.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.aiapplyd.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.2.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-28 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-28 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 10 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.aiapplyd.com | |
| mcp endpoint status | ok | The server listed 10 functions when asked. | as of probe | mcp.aiapplyd.com |
Where to get it
This record as data
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GET /api/v1/entries/mcp_server.json