What is mcp-automation-hub?
73/100
Trust Score (B)
✅ Safe
mcp-automation-hub is a devops that Central MCP automation hub for devops tasks. It has a Nerq Trust Score of 73/100 (B). 0 GitHub stars. Published by crystalclearhouse-data. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
73
TRUST SCORE
B
GRADE
0
STARS
0
DOWNLOADS
What mcp-automation-hub Does
mcp-automation-hub is a mcp_server in the devops category. Central MCP automation hub for devops tasks. It is published by crystalclearhouse-data and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use mcp-automation-hub
mcp-automation-hub is well-suited for production use given its strong trust score and active community.
Details
| Author | crystalclearhouse-data |
|---|---|
| Category | devops |
| License | MIT |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=mcp-automation-hub
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| ansible | 77 | 68.1K |
| Flowise | 63 | 49.6K |
| learn-claude-code | 69 | 42.5K |
| continue | 64 | 31.6K |
| agents | 70 | 29.1K |
Frequently Asked Questions
What is mcp-automation-hub used for?
mcp-automation-hub is a devops tool. Central MCP automation hub for devops tasks.
Is mcp-automation-hub free?
License: MIT. mcp-automation-hub has 0 GitHub stars.
Is mcp-automation-hub safe?
mcp-automation-hub has a Nerq Trust Score of 73/100 (B). Safe for production use.
What are alternatives to mcp-automation-hub?
Top alternatives: ansible, Flowise, learn-claude-code. See full comparison.
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Last updated April 2026. Trust scores based on automated analysis of public data.