What is MeterSphere API Testing?

46/100
Trust Score (D)
⚠️ Use Caution

MeterSphere API Testing is a devops that MeterSphere API Testing bridges AI systems with MeterSphere's platform for API testing and documentation.. It has a Nerq Trust Score of 46/100 (D). 15 GitHub stars. Published by https://github.com/metersphere/metersphere-mcp-server. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

46
TRUST SCORE
D
GRADE
15
STARS
0
DOWNLOADS

What MeterSphere API Testing Does

MeterSphere API Testing is a mcp_server in the devops category. MeterSphere API Testing bridges AI systems with MeterSphere's platform for API testing and documentation.. It is published by https://github.com/metersphere/metersphere-mcp-server and has no specified license. With 15 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use MeterSphere API Testing

MeterSphere API Testing is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/metersphere/metersphere-mcp-server
Categorydevops
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=metersphere-api-testing

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

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Frequently Asked Questions

What is MeterSphere API Testing used for?
MeterSphere API Testing is a devops tool. MeterSphere API Testing bridges AI systems with MeterSphere's platform for API testing and documentation..
Is MeterSphere API Testing free?
License: Check project page. MeterSphere API Testing has 15 GitHub stars.
Is MeterSphere API Testing safe?
MeterSphere API Testing has a Nerq Trust Score of 46/100 (D). Evaluate carefully.
What are alternatives to MeterSphere API Testing?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.

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

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