1. Conduid
  2. Science
  3. io.github.vktr93/reviewmetric
MCP server · Science

io.github.vktr93/reviewmetric

An MCP server connecting Claude to the Review Metric 15-agent scientific peer review pipeline.

Unclaimed science
37Low

Scored 5 months ago · breakdown

About io.github.vktr93/reviewmetric

io.github.vktr93/reviewmetric is an MCP server in the Science category: an MCP server connecting Claude to the Review Metric 15-agent scientific peer review pipeline.

Install

uvx
uvx reviewmetric-mcp
pip
pip install reviewmetric-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (2)

check_analysis_statusChecks the status or retrieves the final report of a ReviewMetric analysis.
ParameterTypeDescription
run_id *stringThe unique UUID of the analysis run.
submit_manuscriptSubmits a locally saved .docx manuscript to the ReviewMetric 15-agent AI pipeline.
ParameterTypeDescription
file_path *stringThe absolute path on the local computer to the .docx file.

Ask AI

✦

Ask AI about io.github.vktr93/reviewmetric

Powered by Claude · Grounded in docs

I know everything about io.github.vktr93/reviewmetric. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README


🔬 What is Review Metric?

Review Metric is a powerful AI tool designed for researchers, academics, and scientists. By installing this MCP server, you give Claude the ability to securely submit your local .docx manuscripts to a sophisticated 15-agent pipeline that rigorously analyzes your work for methodological flaws, novelty, and literature alignment.

🎥 See it in Action

Review Metric Claude Desktop Demo

✨ Key Features

  • Multi-Agent Rigor: Your manuscript is analyzed by 15 specialized AI agents, simulating a real-world peer review panel.
  • Comprehensive Scoring: Receive a definitive 0-100 quality score to gauge your readiness for journal submission.
  • Zero Data Retention: Your unpublished work is completely secure. We enforce strict zero-data retention, meaning your research is never used for AI training.
  • Local File Access: Claude can securely read manuscripts directly from your computer without you having to copy/paste massive documents into the chat.

🚀 Installation for Claude Desktop

To install this tool, simply add the following configuration to your claude_desktop_config.json file.

(Note: You will need your personal API key from the Review Metric web dashboard https://www.reviewmetric.it.com/).

{
  "mcpServers": {
    "review-metric": {
      "command": "uvx",
      "args": ["reviewmetric-mcp"],
      "env": {
        "REVIEWMETRIC_API_KEY": "your_api_key_here"
      }
    }
  }
}

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.vktr93/reviewmetric

How do I install io.github.vktr93/reviewmetric?

Run uvx reviewmetric-mcp, then add the server to your MCP client's configuration.

Is io.github.vktr93/reviewmetric safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.vktr93/reviewmetric still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.