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

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_..." }
    }
  }
}

3. 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.

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.