What is Kubernetes ListPods?
Kubernetes ListPods is a AI tool that Enables interaction with Kubernetes clusters to list pods in specified namespaces using the user's kubeconfig file for DevOps workflows, monitoring, and troubleshooting deployments.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/dineshkumarramaraj/mcp-kubernetes/tree/HEAD/kubernetes-listpods. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Kubernetes ListPods Does
Kubernetes ListPods is a mcp_server in the AI tool category. Enables interaction with Kubernetes clusters to list pods in specified namespaces using the user's kubeconfig file for DevOps workflows, monitoring, and troubleshooting deployments.. It is published by https://github.com/dineshkumarramaraj/mcp-kubernetes/tree/HEAD/kubernetes-listpods and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Kubernetes ListPods
Kubernetes ListPods is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/dineshkumarramaraj/mcp-kubernetes/tree/HEAD/kubernetes-listpods |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=kubernetes-listpods
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.