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io.github.vktr93/reviewmetric

Official registry AI and agents

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

Source code Documentation

What can you do with io.github.vktr93/reviewmetric?

  • submit_manuscript(file_path) — uploads the .docx (uses 1 credit) and returns a Run ID.
  • check_analysis_status(run_id) — progress while running; the full report (summary, scores, priority actions, issues, missing related work, referee report) when done.
  • get_report_json(run_id) — the complete report as JSON.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package reviewmetric-mcp
Claude Code 
claude mcp add reviewmetric -e 'REVIEWMETRIC_API_KEY=<your reviewmetric_api_key>' -- uvx reviewmetric-mcp==1.0.6
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "reviewmetric": {
            "command": "uvx",
            "args": [
                "reviewmetric-mcp==1.0.6"
            ],
            "env": {
                "REVIEWMETRIC_API_KEY": "<your reviewmetric_api_key>"
            }
        }
    }
}

Environment variables

  • REVIEWMETRIC_API_KEY required secret Your API key from the Review Metric web dashboard

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. ReviewMetric MCP Server
  2. What the panel checks
  3. Installation (Claude Desktop)
  4. Tools
  5. Data

ReviewMetric MCP Server

Know what reviewers will say before you submit — from inside Claude.

ReviewMetric is a pre-submission review service for researchers. This MCP server lets Claude send a local .docx manuscript to ReviewMetric's panel of specialist AI referees and bring the report back into your chat.

What the panel checks

RefereeWhat it looks at
Novelty & positioningYour claims against the closest published, peer-reviewed work (retrieved from OpenAlex and ReviewMetric's vetted library), plus related papers you may have missed
Claims & evidenceWhether each main claim is supported by your results; numbers that disagree between abstract, results and tables
Methods & reproducibilityDesign, controls, statistics, and a field-appropriate reproducibility checklist
Citation integrityWhether cited papers support the sentences they are attached to; retracted, uncited or missing references
FiguresCaptions, legibility, units, and agreement with the text
ClarityTitle, abstract, structure, language, terminology
Handling editorReadiness recommendation, prioritised revisions and a referee-style report

Every issue points to a location in your manuscript. Scores come from fixed rubrics, not from a single AI guess.

Installation (Claude Desktop)

  1. Create an API key in the ReviewMetric developer portal: https://www.reviewmetric.it.com/developer-portal
  2. Add this to claude_desktop_config.json:
{
  "mcpServers": {
    "review-metric": {
      "command": "uvx",
      "args": ["reviewmetric-mcp"],
      "env": { "REVIEWMETRIC_API_KEY": "rvk_live_..." }
    }
  }
}
  1. Ask Claude: "Review my manuscript at /Users/me/papers/draft.docx with ReviewMetric."

Tools

  • submit_manuscript(file_path) — uploads the .docx (uses 1 credit) and returns a Run ID.
  • check_analysis_status(run_id) — progress while running; the full report (summary, scores, priority actions, issues, missing related work, referee report) when done.
  • get_report_json(run_id) — the complete report as JSON.

A review usually takes 5 to 15 minutes. If the file cannot be reviewed (unreadable, too short, not a manuscript), the credit is refunded automatically.

Data

Manuscripts are processed by ReviewMetric's API and the AI providers it uses under their paid API terms (no training on your data). See the ReviewMetric website for the current data-retention policy.

Frequently asked questions

What is io.github.vktr93/reviewmetric?

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

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

It runs on your machine. In Claude Code: claude mcp add reviewmetric -e 'REVIEWMETRIC_API_KEY=<your reviewmetric_api_key>' -- uvx reviewmetric-mcp==1.0.6. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.vktr93/reviewmetric need an API key?

Yes. It expects REVIEWMETRIC_API_KEY, which you set in its configuration.

Is io.github.vktr93/reviewmetric open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.vktr93/reviewmetric?

It is published by vktr93. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.