What is HiMarket?

47/100
Trust Score (D)
⚠️ Use Caution

HiMarket is a infrastructure that Enterprise marketplace platform for packaging, publishing, and managing AI assets like Model APIs and MCP Servers with developer onboarding, subscription management, and automated approval workflows.. It has a Nerq Trust Score of 47/100 (D). 927 GitHub stars. Published by https://github.com/higress-group/himarket. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

47
TRUST SCORE
D
GRADE
927
STARS
0
DOWNLOADS

What HiMarket Does

HiMarket is a mcp_server in the infrastructure category. Enterprise marketplace platform for packaging, publishing, and managing AI assets like Model APIs and MCP Servers with developer onboarding, subscription management, and automated approval workflows.. It is published by https://github.com/higress-group/himarket and has no specified license. With 927 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use HiMarket

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

Details

Authorhttps://github.com/higress-group/himarket
Categoryinfrastructure
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=himarket

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

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Frequently Asked Questions

What is HiMarket used for?
HiMarket is a infrastructure tool. Enterprise marketplace platform for packaging, publishing, and managing AI assets like Model APIs and MCP Servers with developer onboarding, subscription management, and automated approval workflows..
Is HiMarket free?
License: Check project page. HiMarket has 927 GitHub stars.
Is HiMarket safe?
HiMarket has a Nerq Trust Score of 47/100 (D). Evaluate carefully.
What are alternatives to HiMarket?
Top alternatives: n8n, langflow, dify. See full comparison.

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

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