MCP serverio.github.whateverneveranywhere/aiapplyd

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 r

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,

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. Pr

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

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, tal

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 r

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 j

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

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 or

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, s