io.github.vktr93/reviewmetric

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

GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport: stdio

0 tools

Grade F

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Analytics AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-vktr93-reviewmetric": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-vktr93-reviewmetric-vktr93)](https://mcppedia.org/s/io-github-vktr93-reviewmetric-vktr93)

Read me

What io.github.vktr93/reviewmetric does

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.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

20/100across 5 weighted dimensions

How we score →

0255075100

−80

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Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.vktr93/reviewmetric safe to use?: io.github.vktr93/reviewmetric has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.vktr93/reviewmetric?: io.github.vktr93/reviewmetric can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.vktr93/reviewmetric?: io.github.vktr93/reviewmetric is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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Community

Discussion

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Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

🔬 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 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" } } } }

Frequently Asked Questions

Is io.github.vktr93/reviewmetric safe to use?

io.github.vktr93/reviewmetric has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

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

io.github.vktr93/reviewmetric can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.vktr93/reviewmetric?

io.github.vktr93/reviewmetric is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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 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"
      }
    }
  }
}