What is SSH Orchestrator?
SSH Orchestrator is a AI tool that Provides secure SSH fleet orchestration with policy-enforced command execution across multiple servers, featuring deny-by-default security, host discovery, batch operations, and audit logging for infr. It has a Nerq Trust Score of 70/100 (B). 20 GitHub stars. Published by https://github.com/samerfarida/mcp-ssh-orchestrator. Last analyzed May 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 20 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What SSH Orchestrator Does
SSH Orchestrator is a mcp_server in the AI tool category. Provides secure SSH fleet orchestration with policy-enforced command execution across multiple servers, featuring deny-by-default security, host discovery, batch operations, and audit logging for infrastructure automation and compliance-aware server management.. It is published by https://github.com/samerfarida/mcp-ssh-orchestrator and has no specified license. With 20 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use SSH Orchestrator
SSH Orchestrator is well-suited for production use given its strong trust score and active community.
Details
| Author | https://github.com/samerfarida/mcp-ssh-orchestrator |
|---|---|
| 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=ssh-orchestrator
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 74 | 92.8K |
| Mobile Device Control | 74 | 4.2K |
| Container Use | 77 | 3.7K |
| Sourcebot | 77 | 3.2K |
| azure | 70 | 2.7K |
Frequently Asked Questions
Last updated May 2026. Trust scores based on automated analysis of public data.