Reviewmetric

io.github.vktr93由 GitHub 帳號 vktr93 發布v1.0.6更新於 Oct 24, 2026

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

已驗證STDIO僅桌面知識與記憶AI 與機器學習

概覽

AI 產生的概覽

讓助理把本機 .docx 稿件提交到 Review Metric 多代理同儕審查流程，並回傳品質分數。

可以做什麼
這個 MCP 伺服器把助理連接到 Review Metric 科學同儕審查服務。它可以讀取本機上的 .docx 稿件，並提交給由 15 個代理組成的流程，分析方法學缺陷、新穎性與文獻契合度。結果包含 0-100 的品質分數，用來判斷是否適合投稿期刊。
適用情境
適合研究人員、學者與科學家，希望讓助理自動完成稿件審查，而不必把長篇文件貼進對話中。適用於投稿前檢查與草稿的早期回饋。
執行需求
以 PyPI 套件（reviewmetric-mcp）在本機執行，透過 uvx 啟動，因此需要 Python 工具鏈。需要 Review Metric API 金鑰，透過環境變數 REVIEWMETRIC_API_KEY 提供，金鑰來自 Review Metric 網頁儀表板。僅支援桌面端；需要連線到 Review Metric 服務的網路。
安裝前請注意
此伺服器會讀取本機 .docx 稿件檔案，並將其內容傳送到第三方服務，因此未發表的作品會離開本機。它需要密鑰 REVIEWMETRIC_API_KEY，應避免寫入共用設定檔。README 聲稱零資料保留且研究內容不會用於 AI 訓練，但這只是供應商自己的說法，應自行查證。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Reviewmetric，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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:
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.

來源：README.md，提交 b7167c6

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包，因此其工具未知。

版本歷史

1
  1. v1.0.6最新Sep 16, 2026

評分

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