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Analyze academic manuscripts and generate tough, professional peer review reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "q1-reviewer-mcp" yet — see the docs or source repo.
Review this academic manuscript with the rigor of a Q1 journal Reviewer #2. Focus on fatal issues in study design, methods, experiments, argumentation, and writing, and generate a professionally formatted review report.
A tough, professionally structured peer review report for pre-submission revision.
Please focus on the methods section of this paper. Identify serious flaws in sampling, variables, experimental procedure, statistical analysis, or reproducibility, and output formal review comments.
Formal review comments focused on methodology issues to help prioritize high-risk fixes.
Analyze this manuscript and produce a professionally formatted peer review report that I can directly share with collaborators and use for revision planning.
A shareable .docx review report for team discussion and revision.
Researchers use it before journal submission to simulate a harsh high-tier peer review and uncover fatal weaknesses early. This helps fix critical issues in study design, argumentation, or writing before external review.
Students can use it to run a high-standard self-review on theses or research papers and see where the manuscript is most vulnerable. It is useful for an initial issue check before advisor feedback.
Co-authors can use the generated formal review report to discuss revision priorities. A consistent critical perspective helps align on the most important manuscript changes.
It is an AI-powered MCP server that analyzes academic manuscripts and generates tough, professionally formatted peer review reports. It is positioned to simulate a Q1 journal “Reviewer #2” and help authors catch fatal flaws before submission.
The original description states that it generates peer review reports as .docx files. That makes the output suitable for direct reading, sharing, or further editing.
The provided material does not include installation steps, runtime requirements, or API key details. For exact prerequisites and setup, see the source repository.
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