Jagent

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.jev-agent/jagent and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

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Tools this endpoint exposes

Read directly from the endpoint on 9 Oct 2026. Not supplied by the maker.

• check_resume

  Score a resume, optionally against a job posting: a 0-100 match score, the posting's keywords found and missing (matched literally, as an ATS search would), ATS format checks, the level fit, and the p

• grade_essay

  Grade one essay against a built-in rubric. kind "essay": six criteria and a letter grade, for class essays at middle school, high school or college level. kind "common-app": a Common App personal stat

• grade_with_rubric

  Grade one or more submissions (up to 30, in parallel) against a rubric you supply: each criterion scored on a 3- to 6-point scale, summed per submission. Each submission is graded in its own call, so

• judge_yes_no

  Ask any yes/no question about a text and get the probability that the answer is yes. Use for checks and gates, e.g. 'Does this reply answer the customer's question?'.

• judge_choice

  Pick the option that best fits a text, with a probability for every option and a confidence. Options map an id to a description of when it applies.

• judge_score

  Place a text on an ordered scale you define (lowest level first) and get the nearest level, the exact position and a probability for each level.

• compare_versions

  Which of two versions is stronger for a stated purpose. Asked twice with the order swapped and averaged, because the model favors the second option on close calls; if the two orders disagree the resul

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