What is Selfhosted Supabase?
Selfhosted Supabase is a AI tool that Provides a bridge between development environments and self-hosted Supabase instances for database introspection, migration management, and storage operations through direct RPC calls and database con. It has a Nerq Trust Score of 46/100 (D). 117 GitHub stars. Published by https://github.com/henkdz/selfhosted-supabase-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 117 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Selfhosted Supabase Does
Selfhosted Supabase is a mcp_server in the AI tool category. Provides a bridge between development environments and self-hosted Supabase instances for database introspection, migration management, and storage operations through direct RPC calls and database connections.. It is published by https://github.com/henkdz/selfhosted-supabase-mcp and has no specified license. With 117 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use Selfhosted Supabase
Selfhosted Supabase is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/henkdz/selfhosted-supabase-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=selfhosted-supabase
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 |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.