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io.github.vktr93/reviewmetric

Registre officiel IA et agents

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

Code source Documentation

Que pouvez-vous faire avec 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.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

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

Variables d'environnement

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

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  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.

Questions fréquentes

Qu'est-ce que io.github.vktr93/reviewmetric ?

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

Comment installer io.github.vktr93/reviewmetric ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add reviewmetric -e 'REVIEWMETRIC_API_KEY=<your reviewmetric_api_key>' -- uvx reviewmetric-mcp==1.0.6. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.vktr93/reviewmetric ?

Oui. Il attend REVIEWMETRIC_API_KEY, à renseigner dans sa configuration.

io.github.vktr93/reviewmetric est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.vktr93/reviewmetric ?

Il est publié par vktr93. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.