What is Rierino?

40/100
Trust Score (E)
🔴 Avoid

Rierino is a AI tool that Enables organizations to expose existing APIs, event processing, or CDC flows as MCP tools while maintaining security policies and user roles through configurable middleware or custom server implement. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by https://github.com/rierino-open/mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
0
STARS
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DOWNLOADS

What Rierino Does

Rierino is a mcp_server in the AI tool category. Enables organizations to expose existing APIs, event processing, or CDC flows as MCP tools while maintaining security policies and user roles through configurable middleware or custom server implementations.. It is published by https://github.com/rierino-open/mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Rierino

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

Details

Authorhttps://github.com/rierino-open/mcp
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=rierino

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

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Frequently Asked Questions

What is Rierino used for?
Rierino is a AI tool tool. Enables organizations to expose existing APIs, event processing, or CDC flows as MCP tools while maintaining security policies and user roles through configurable middleware or custom server implement.
Is Rierino free?
License: Check project page. Rierino has 0 GitHub stars.
Is Rierino safe?
Rierino has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to Rierino?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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