What is Document Automation?

43/100
Trust Score (E)
⚠️ Use Caution

Document Automation is a coding that Automates codebase analysis and documentation generation for local directories or GitHub repositories.. It has a Nerq Trust Score of 43/100 (E). 2 GitHub stars. Published by https://github.com/vedantparmar12/document-automation. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

43
TRUST SCORE
E
GRADE
2
STARS
0
DOWNLOADS

What Document Automation Does

Document Automation is a mcp_server in the coding category. Automates codebase analysis and documentation generation for local directories or GitHub repositories.. It is published by https://github.com/vedantparmar12/document-automation and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Document Automation

Document Automation is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/vedantparmar12/document-automation
Categorycoding
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=document-automation

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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AutoGPT65181.9K
ollama64163.0K
langchain77127.8K
system-prompts-and-models-of-ai-tools64115.3K
opencode78108.1K

Frequently Asked Questions

What is Document Automation used for?
Document Automation is a coding tool. Automates codebase analysis and documentation generation for local directories or GitHub repositories..
Is Document Automation free?
License: Check project page. Document Automation has 2 GitHub stars.
Is Document Automation safe?
Document Automation has a Nerq Trust Score of 43/100 (E). Evaluate carefully.
What are alternatives to Document Automation?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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