Jagent

Connect Remote server

claude mcp add --transport http jagent https://jev-agent.com/api/mcp --header "Authorization: Bearer <YOUR_API_KEY>"

{
  "mcpServers": {
    "jagent": {
      "url": "https://jev-agent.com/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "jagent": {
      "type": "http",
      "url": "https://jev-agent.com/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

Settings > Connectors > Add custom connector
URL: https://jev-agent.com/api/mcp

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools 7 found in our last check

• 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 probability a recruiter would move it to interview.

• 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 statement (pass the prompt number, 1-7). kind "sat": an SAT School Day essay, Readi…

• 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 its score never depends on the others.

• 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 result is a tie.

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