MCP.Market

Reviewmetric MCP server

by vktr93·io.github.vktr93/reviewmetric·v1.0.6
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An MCP server connecting Claude to the Review Metric 15-agent scientific peer review pipeline.

B72/100grade B
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Safety scan
B72/100

full report

Adoption
New

0 stars17 downloads/wk

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Reviewmetric tools (2, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • check_analysis_status

    Checks the status or retrieves the final report of a ReviewMetric analysis.

  • submit_manuscriptwrite action

    Submits a locally saved .docx manuscript to the ReviewMetric 15-agent AI pipeline.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan6 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 142 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Reviewmetric compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 40% of 4,460 AI and agents servers
Tools
2
the typical AI and agents server has 6
Tools that change things
50%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
17
more than 4% of 1,538 AI and agents servers with a package

What its tools let an agent do: 1 read · 1 change

Install Reviewmetric in Claude Code, Cursor or VS Code

claude mcp add reviewmetric -- uvx reviewmetric-mcp
Add to Cursor

What the publisher says

From the Reviewmetric repository's README, as published. We do not edit it. Read it on GitHub

Review Metric MCP Server

Connect Claude to the world's most advanced 15-agent scientific peer review pipeline.

🔬 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

✨ 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 claudedesktopconfig.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"
      }
    }
  }
}

<!-- mcp-name: io.github.vktr93/reviewmetric-mcp -->

Nothing above is checked by us. What we check is on the safety report.

Reviewmetric: common questions

Is Reviewmetric MCP server safe?
Mostly: it is graded B (72/100). Read the Reviewmetric safety report
How do I install Reviewmetric?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Reviewmetric need an API key?
Yes. The registry entry asks for REVIEWMETRIC_API_KEY.
Is Reviewmetric maintained?
The last commit was 179 days ago (2026-05-09). The latest release is v1.0.6.
What can I use instead of Reviewmetric?
Servers from other publishers that do the same job: OpenWorkProof MCP server, Superlog MCP server and Maple MCP server.
How does Reviewmetric compare with other AI and agents MCP servers?
safety score 72/100 (higher than 40% of 4,460 AI and agents servers); tools 2 (the typical AI and agents server has 6); tools that change things 50% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Reviewmetric

Same job from other publishers: the closest match first, then the best rated.

  • OpenWorkProof
    Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.
    A
  • Superlog
    Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
    A
  • Maple
    Review comments pinned to a running frontend, read and resolved by your coding agent.
    B