Review Metric MCP Server
Connect Claude to the world's most advanced 15-agent scientific peer review pipeline.
🔬 What is Review Metric?
Review Metric is a powerful AI tool designed for researchers, academics, and scientists. By installing this MCP server, you give Claude the ability to securely submit your local .docx manuscripts to a sophisticated 15-agent pipeline that rigorously analyzes your work for methodological flaws, novelty, and literature alignment.
🎥 See it in Action
✨ Key Features
- Multi-Agent Rigor: Your manuscript is analyzed by 15 specialized AI agents, simulating a real-world peer review panel.
- Comprehensive Scoring: Receive a definitive 0-100 quality score to gauge your readiness for journal submission.
- Zero Data Retention: Your unpublished work is completely secure. We enforce strict zero-data retention, meaning your research is never used for AI training.
- Local File Access: Claude can securely read manuscripts directly from your computer without you having to copy/paste massive documents into the chat.
🚀 Installation for Claude Desktop
To install this tool, simply add the following configuration to your claude_desktop_config.json file.
(Note: You will need your personal API key from the Review Metric web dashboard https://www.reviewmetric.it.com/).
{
"mcpServers": {
"review-metric": {
"command": "uvx",
"args": ["reviewmetric-mcp"],
"env": {
"REVIEWMETRIC_API_KEY": "your_api_key_here"
}
}
}
}
Release files for reviewmetric-mcp 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| reviewmetric_mcp-1.0.6.tar.gz | 7.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| reviewmetric_mcp-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.3 MB
Release files / reviewmetric_mcp-1.0.6.tar.gz
| Download URL | reviewmetric_mcp-1.0.6.tar.gz |
|---|---|
| Size | 7.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61e3c40bddc76f9b6c93ed6bf597762de29e4c6fc04bba6920400a8421c0442d
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Release files / reviewmetric_mcp-1.0.6-py3-none-any.whl
| Download URL | reviewmetric_mcp-1.0.6-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
df9aab2b98979b440defdcce3ba0334bfa85a16fc13baa8d27f7661057784105
|
|
BLAKE2b-256 checksum How to use checksums |
da56482b74c05430226d03a121b7c8f4de076a4d85b0b0a3f475165d1fab785b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|