What is SuperiorAPIs?

39/100
Trust Score (E)
🔴 Avoid

SuperiorAPIs is a AI tool that Provides a bridge between AI systems and external APIs, enabling structured communication with third-party services through a set of callable tools built on the fastmcp framework.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/cteaminfo/mcp_superiorapis_local. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

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TRUST SCORE
E
GRADE
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STARS
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DOWNLOADS

What SuperiorAPIs Does

SuperiorAPIs is a mcp_server in the AI tool category. Provides a bridge between AI systems and external APIs, enabling structured communication with third-party services through a set of callable tools built on the fastmcp framework.. It is published by https://github.com/cteaminfo/mcp_superiorapis_local and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use SuperiorAPIs

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

Details

Authorhttps://github.com/cteaminfo/mcp_superiorapis_local
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=superiorapis

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

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Frequently Asked Questions

What is SuperiorAPIs used for?
SuperiorAPIs is a AI tool tool. Provides a bridge between AI systems and external APIs, enabling structured communication with third-party services through a set of callable tools built on the fastmcp framework..
Is SuperiorAPIs free?
License: Check project page. SuperiorAPIs has 0 GitHub stars.
Is SuperiorAPIs safe?
SuperiorAPIs has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to SuperiorAPIs?
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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