Skip to main content
Glama

Jagent

Server Details

Grade essays, check resumes, and ask typed yes/no, choice and rubric questions, powered by Jev.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

Score is being calculated.

Available Tools

7 tools
check_resumeCheck a resume
Read-only
Inspect

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 probability a recruiter would move it to interview.

ParametersJSON Schema
NameRequiredDescriptionDefault
resumeYesThe resume as plain text.
job_descriptionNoThe job posting to match against. Omit for a general resume check.
compare_versionsCompare two versions
Read-only
Inspect

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 result is a tie.

ParametersJSON Schema
NameRequiredDescriptionDefault
contextNoThe surrounding text, such as the whole essay or the job posting.
questionYese.g. 'Which opening line would an admissions reader find more compelling?'
version_aYes
version_bYes
grade_essayGrade an essay
Read-only
Inspect

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 statement (pass the prompt number, 1-7). kind "sat": an SAT School Day essay, Reading/Analysis/Writing each 1-4 (pass the source passage to check quotations).

ParametersJSON Schema
NameRequiredDescriptionDefault
kindNoessay
essayYesThe essay text.
levelNokind "essay" only. Default high school.
promptNokind "common-app": which of the seven prompts. Default 7, topic of your choice.
passageNokind "sat": the source passage.
assignmentNokind "essay": the assignment prompt.
grade_with_rubricGrade against your own rubric
Read-only
Inspect

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 its score never depends on the others.

ParametersJSON Schema
NameRequiredDescriptionDefault
pointsNo
criteriaYesRubric rows, e.g. { "name": "Evidence", "description": "Supports the claim with specific evidence" }.
assignmentNo
submissionsYes
judge_choiceMultiple-choice judgment
Read-only
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
textYes
optionsYese.g. { "billing": "Payments, refunds, invoices", "technical": "Bugs and errors" }
questionYes
judge_scoreRubric judgment
Read-only
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
textYes
levelsYesLowest first, e.g. ["Off-topic", "Partly relevant", "Fully relevant"].
questionYes
judge_yes_noYes/no judgment
Read-only
Inspect

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?'.

ParametersJSON Schema
NameRequiredDescriptionDefault
textYesThe text to judge.
no_meansNo
questionYes
yes_meansNoWhat a yes looks like, if it helps to spell out.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 7 tool updates
    • First observedcheck_resume
    • First observedcompare_versions
    • First observedgrade_essay
    • First observedgrade_with_rubric
    • First observedjudge_choice
    • First observedjudge_score
    • First observedjudge_yes_no

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables autonomous, evidence-driven screening of technical candidates by evaluating resumes against job descriptions and rubrics, producing ranked scores, gap analyses, and audit-ready PDF, HTML, and Markdown reports.
    -
  • A
    license
    A
    quality
    A
    maintenance
    Turns any AI assistant into an ATS-optimized resume engine that tailors resumes to job descriptions, validates candidate intake, analyzes gaps, scores matches, and renders DOCX/PDF outputs.
    9
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables importing resumes in Markdown, PDF, DOCX, or text form, scoring their completeness against a job description's keywords, and AI-polishing the wording without inventing facts. Results can be exported back out as Markdown, PDF, or Word, and the server runs inside any MCP-compatible app or standalone with a DeepSeek/OpenAI-compatible key.
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Auto-Apply That Ends on an Interview. Job matches, applications submitted on the employer's own hiring system automatically or after your approval, employer-receipt tracking, a resume rewritten for each role, cover letters and interview prep. Hosted remote server over Streamable HTTP with OAuth 2.1.
    17
    227 npm
    2
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources