What is mcp-server-ai-tutor?
55/100
Trust Score (D)
⚠️ Use Caution
mcp-server-ai-tutor is a education that MCP Server for AI tutoring.. It has a Nerq Trust Score of 55/100 (D). 0 GitHub stars. Published by Spalora87. Last analyzed September 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: Not specified — No license specified
Trust & Safety Overview
55
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What mcp-server-ai-tutor Does
mcp-server-ai-tutor is a mcp_server in the education category. MCP Server for AI tutoring.. It is published by Spalora87 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use mcp-server-ai-tutor
mcp-server-ai-tutor is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Spalora87 |
|---|---|
| Category | education |
| License | Not specified |
| 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-server-ai-tutor
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Mr.-Ranedeer-AI-Tutor | 59 | 29.7K |
| hello-agents | 70 | 21.2K |
| owl | 61 | 19.1K |
| mcp-for-beginners | 68 | 14.5K |
| Virgilio | 59 | 14.3K |
Frequently Asked Questions
What is mcp-server-ai-tutor used for?
mcp-server-ai-tutor is a education tool. MCP Server for AI tutoring..
Is mcp-server-ai-tutor free?
License: Check project page. mcp-server-ai-tutor has 0 GitHub stars.
Is mcp-server-ai-tutor safe?
mcp-server-ai-tutor has a Nerq Trust Score of 55/100 (D). Use with caution.
What are alternatives to mcp-server-ai-tutor?
Top alternatives: Mr.-Ranedeer-AI-Tutor, hello-agents, owl. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.