mcpField
R
reviewmetric

reviewmetric

Local
github.com/vktr93Science & Education0Updated 3d ago

About reviewmetric

reviewmetric connects Claude to a pre-submission review service for researchers. It returns rubric-based feedback on DOCX manuscripts, prepares edits, and provides tools to explore the ReviewMetric Atlas.

Key features

  1. 01Review DOCX manuscripts with specialist AI referees
  2. 02Locate issues in the manuscript
  3. 03Return reports with fixed-rubric scores
  4. 04Prepare text edits for Claude to apply
  5. 05Search discoveries and research frontiers in the Atlas

Use cases

  1. 01Prioritize revisions before submitting a paper
  2. 02Check claims, methods, citations, and figures
  3. 03Prepare manuscript edits without new experiments
  4. 04Explore discoveries related to a research topic

MCP support

The MCP server lets Claude submit a local .docx manuscript, check review progress, retrieve reports, and prepare text fixes. It also exposes tools for searching and exploring the ReviewMetric Atlas.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"vktr93-reviewmetric": {
"command": "uvx",
"args": [
"reviewmetric-mcp"
],
"env": {
"REVIEWMETRIC_API_KEY": "<REVIEWMETRIC_API_KEY>"
}
}
}
}
Run commanduvx reviewmetric-mcp
Environment variables to set
REVIEWMETRIC_API_KEYSecretYour API key from the Review Metric web dashboard

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypireviewmetric-mcp1.0.6

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

ReviewMetric MCP Server

Know what reviewers will say before you submit — from inside Claude.
Then fix the text in one go, and see where your work sits on the map of science.


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, bring the report back into your chat, prepare the text fixes Claude can apply to your file, and explore the ReviewMetric Atlas: landmark discoveries, their Nobel Prizes and the frontiers research groups are pushing now.

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 at https://www.reviewmetric.it.com/developers
  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."

Commands

Ask "What can ReviewMetric do?" (the help_me command) for the full list inside Claude.

CommandWhat it doesCost
help_meEverything ReviewMetric can do in Claude, with examplesFree
submit_manuscript(file_path)Sends the .docx to the referees; returns a Run ID1 RM token
check_analysis_status(run_id)Progress; when done, the report, its place on the Atlas and the text fixes availableFree
get_report_json(run_id)The complete report as JSONFree
list_my_reviews(limit)Your reviews with scores and Run IDsFree
get_text_fixes(run_id)Preview of the fixes that need no new experiment; the exact edits once preparedFree
prepare_text_fixes(run_id)Prepares the edits, which Claude can then apply to your manuscript1 RM token
search_atlas(query, field, limit)Finds discoveries and frontiers on the AtlasFree
list_frontiers()The frontiers, what they build on, who is pushing themFree
place_on_atlas(run_id)Where your manuscript sits, the landmarks it cites, the frontier aheadFree
atlas_whats_new()This week's additions to the AtlasFree
trace_path(from, to)The chain of discoveries linking two starsFree
unlock_atlas_sources(confirm)The paper and research group behind every star, for 30 days1 RM token
account_status()RM tokens left, Atlas access, pricesFree

Spending tokens. RM tokens are ReviewMetric's one currency (1 for $9, 3 for $25, 10 for $70; your first is free). Claude never unlocks the Atlas sources on its own: it tells you the cost and waits for your explicit yes in the chat.

A review usually takes about 5 minutes. If the file cannot be reviewed (unreadable, too short, not a manuscript), the RM token is returned automatically.

Try asking

  • "Review my manuscript at ~/papers/draft.docx and tell me what to fix first."
  • "Prepare the text fixes of my last review and apply them to the draft."
  • "Where does my manuscript sit on the Atlas, and which frontier is ahead of it?"
  • "Who is pushing room-temperature superconductivity right now?"
  • "Trace the path from the double helix to AlphaFold."

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.

Comments

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