INDIVIDUAL MCP TOOL

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.

jev-agent.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://jev-agent.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for grade_with_rubric and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

jev-agent.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.jagent]
url = "https://jev-agent.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "jagent": {
      "type": "http",
      "url": "https://jev-agent.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: jagent
Remote MCP URL: https://jev-agent.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "jagent": {
      "url": "https://jev-agent.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "jagent": {
      "type": "http",
      "url": "https://jev-agent.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "jagent",
  "transport": "streamable-http",
  "url": "https://jev-agent.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

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.
judge_yes_no — Ask any yes/no question about a text and get the probability that the answer is yes.
judge_choice — Pick the option that best fits a text, with a probability for every option and a confidence.
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.