ATS Engine MCP server

ATS Engine

Read a resume the way an applicant tracking system (ATS) does, see what it would store, and get a score with a reason behind every point.

@veriworkly/ats-engine is an open-source resume checker from VeriWorkly, a privacy-first resume builder. It parses a resume into the fields an ATS keeps, scores it against a published rubric, and compares it with a job posting requirement by requirement. The same input always produces the same report. The core does no network calls and keeps no state, so it runs in a browser, at the edge, or on a server.

To try it without installing anything, upload a resume to the VeriWorkly ATS checker, which runs on this engine.

Install · Quick start · MCP · GitHub Actions · Use it in your app · AI features · Run from source · Documentation

What it does

• Recovers the fields an ATS stores: name, contact details, each job (title, employer, dates), education on the ISCED scale, skills, certifications (name, issuer, date earned, expiry) and spoken languages with their CEFR level, each group marked with how it was recovered: parsed from the text, read from structured input, or repaired by a model.
• Scores readiness from 0 to 100 across parsing, contact, structure, content, format and writing, minus any integrity penalties. Every failed check comes with evidence and a suggested fix.
• Notes writing style in English resumes: bullets in the first person or the passive voice, duties instead of actions ("Responsible for"), a role you have left written in the present tense, bullets over 40 words, fewer than 2 or more than 8 bullets in a role, three bullets in a row opening with the same word, and role dates written in more than one format. These rules have their own writing category and carry 12 points of weight against 190 for the rest of the rubric, so the score still mostly measures whether an ATS can read the resume. They are left out for resumes in other languages.
• Matches a resume to a job posting. Each requirement is marked met, partly met, missing or unverifiable, with the resume lines that support it. Years of experience, degrees and languages are compared as values, not as keywords: "Fluent German" asks for C1 and is met by German at C1 or above, and "AWS certification" is met by a certification row that names AWS. A clearance is compared by level: "Secret" partly meets "Top Secret" and fully meets "Confidential". A statement about the right to work is read for what it says: "Requires H-1B visa sponsorship" never meets "Authorized to work without sponsorship", and a green card does not meet "Must be a U.S. citizen" (U.S. citizenship is the only citizenship the community policy names). A slash joins skills asked together: "HTML/CSS" asks for HTML and CSS, so HTML alone partly meets it, as AWS alone partly meets "AWS/GCP/Azure"; beside an "or" each part is one of the choices, so React alone meets "React/Redux or Vue". A name written with a slash ("CI/CD", "TCP/IP") stays whole. The posting's keywords are split into hard skills and soft skills ("communication", "teamwork"). A resume claims a soft skill more often than it shows one, so a soft skill counts for a tenth of a named skill in the match score.
• Flags integrity problems: hidden text (white, tiny, off-page or covered), instructions aimed at AI screeners,

Shortened. The full README is on GitHub.