What is Portainer Container Management?
Portainer Container Management is a AI tool that Provides a bridge between AI and Portainer container management platform, enabling environment monitoring, access control management, and stack deployment through Docker and Kubernetes API proxying. It has a Nerq Trust Score of 45/100 (D). 133 GitHub stars. Published by https://github.com/portainer/portainer-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 133 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Portainer Container Management Does
Portainer Container Management is a mcp_server in the AI tool category. Provides a bridge between AI and Portainer container management platform, enabling environment monitoring, access control management, and stack deployment through Docker and Kubernetes API proxying. It is published by https://github.com/portainer/portainer-mcp and has no specified license. With 133 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Portainer Container Management
Portainer Container Management is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/portainer/portainer-mcp |
|---|---|
| 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=portainer-container-management
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.