What is Naver OpenAPI?

45/100
Trust Score (D)
⚠️ Use Caution

Naver OpenAPI is a AI tool that Integrates with Naver's OpenAPI services to provide 14 different tools for Korean-language search capabilities, including blog, news, book, image, and shopping searches.. It has a Nerq Trust Score of 45/100 (D). 114 GitHub stars. Published by https://github.com/pfldy2850/py-mcp-naver. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

45
TRUST SCORE
D
GRADE
114
STARS
0
DOWNLOADS

What Naver OpenAPI Does

Naver OpenAPI is a mcp_server in the AI tool category. Integrates with Naver's OpenAPI services to provide 14 different tools for Korean-language search capabilities, including blog, news, book, image, and shopping searches.. It is published by https://github.com/pfldy2850/py-mcp-naver and has no specified license. With 114 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use Naver OpenAPI

Naver OpenAPI is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/pfldy2850/py-mcp-naver
CategoryAI tool
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=naver-openapi

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

Safer Alternatives

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Frequently Asked Questions

What is Naver OpenAPI used for?
Naver OpenAPI is a AI tool tool. Integrates with Naver's OpenAPI services to provide 14 different tools for Korean-language search capabilities, including blog, news, book, image, and shopping searches..
Is Naver OpenAPI free?
License: Check project page. Naver OpenAPI has 114 GitHub stars.
Is Naver OpenAPI safe?
Naver OpenAPI has a Nerq Trust Score of 45/100 (D). Evaluate carefully.
What are alternatives to Naver OpenAPI?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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