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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

Referee What it looks at
Novelty & positioning Your claims against the closest published, peer-reviewed work (retrieved from OpenAlex and ReviewMetric's vetted library), plus related papers you may have missed
Claims & evidence Whether each main claim is supported by your results; numbers that disagree between abstract, results and tables
Methods & reproducibility Design, controls, statistics, and a field-appropriate reproducibility checklist
Citation integrity Whether cited papers support the sentences they are attached to; retracted, uncited or missing references
Figures Captions, legibility, units, and agreement with the text
Clarity Title, abstract, structure, language, terminology
Handling editor Readiness 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.

Metadata

Release files for reviewmetric-mcp 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for reviewmetric-mcp 1.1.0
File Size Uploaded Provenance Actions
reviewmetric_mcp-1.1.0.tar.gz 4.1 MB Without provenance Details for reviewmetric_mcp-1.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for reviewmetric-mcp 1.1.0
File Interpreter ABI Platform Actions
reviewmetric_mcp-1.1.0-py3-none-any.whl Python 3 none any Details for reviewmetric_mcp-1.1.0-py3-none-any.whl

Total release size: 4.1 MB

Release files / reviewmetric_mcp-1.1.0.tar.gz

Download URL reviewmetric_mcp-1.1.0.tar.gz
Size 4.1 MB
Tags Source
SHA-256 checksum
How to use checksums
afffcc3c41dc99628b06495ff0e6d916bb3ef8441760120c1db83cc556b171bd
BLAKE2b-256 checksum
How to use checksums
d61c756bb4f3b0ce0785302930f824599ea4d723a2de6401284990a21a44d247
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.13.5 {"installer":{"name":"uv","version":"0.13.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / reviewmetric_mcp-1.1.0-py3-none-any.whl

Download URL reviewmetric_mcp-1.1.0-py3-none-any.whl
Size 6.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3cd9eb0b48869c743e2077a5ddf28b843f22719e5901cb6b29b1890739bbcda4
BLAKE2b-256 checksum
How to use checksums
bc48bb3d64e6ff535b9e19b4a7b06c8f0e353e5e9b9a3757c65f387eb64355b4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.13.5 {"installer":{"name":"uv","version":"0.13.5","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for reviewmetric-mcp 1.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

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