supabase-security-mcp
MCP server that lets AI coding agents (Claude Code, Cursor, Cline) audit Supabase projects for security misconfigurations AND apply the fixes — without leaving the agent. Tools: audit_project, list_findings, preview_fix (BEGIN/ROLLBACK safety), apply_fix (with confirmation), apply_all_fixes (transactional bulk). Closes the audit-fix loop entirely in the agent — other Supabase scanners only report.
README
supabase-security-mcp
The only Supabase security tool that closes the loop in your AI agent. Audit, preview the fix, and apply it — without leaving Claude / Cursor / Cline.
You: audit my supabase project rkmrsefraqssuyuniyco
Claude: Found 17 critical leaks. Want me to apply all SQL fixes?
Run preview_fix on each first?
You: preview them all, then apply if safe.
Claude: [previews each]
All 17 fixes preview cleanly. Applying...
Done. Re-audited: 0 critical findings remaining.
Other Supabase scanners (SupaExplorer, AuditYourApp, Vibe App Scanner) report. None of them remediate. This one does.
Tools
| Tool | What it does |
|---|---|
audit_project |
Scan a project. Returns JSON findings. Caches for follow-up tools. |
list_findings |
List cached findings, optionally filter by severity. |
preview_fix |
Wrap the fix SQL in BEGIN; ... ROLLBACK; and verify it would run. Safe. |
apply_fix |
Actually apply one finding's fix. Requires confirm: true. Re-audits to verify. |
apply_all_fixes |
Bulk-apply at or above a severity. Single transaction — all or nothing. |
Install
Claude Desktop / Claude Code
Add to your MCP config (~/.claude.json or claude_desktop_config.json):
{
"mcpServers": {
"supabase-security": {
"command": "npx",
"args": ["-y", "@perufitlife/supabase-security-mcp@latest"],
"env": {
"SUPABASE_ACCESS_TOKEN": "sbp_your_personal_access_token"
}
}
}
}
Get a token at https://supabase.com/dashboard/account/tokens (read+write to your projects).
Cursor
Settings → MCP → Add new MCP server → paste the same JSON object as above.
Cline / Continue / etc.
Anything that supports MCP stdio servers will work — point it at npx -y @perufitlife/supabase-security-mcp@latest with the env var set.
Safety model
- Never auto-applies. Every
apply_fixandapply_all_fixescall requiresconfirm: true. - Preview before apply.
preview_fixruns the SQL insideBEGIN; ... ROLLBACK;so you see if it would error before touching state. - All-or-nothing bulk apply.
apply_all_fixesruns everything in a single transaction. If any statement fails, the entire change rolls back. - Re-audit after apply. Every
apply_fixre-runs the audit and reports whether the finding is actually gone — protects against fix-that-doesn't-fix. - Read-only by default for
audit_project. Token can be a read-only PAT if you only want to scan, never remediate. (Forapply_fix, you need write access.)
What it scans
Inherits all checks from supabase-security-skill:
- Tables with RLS disabled and direct anon grants
SECURITY DEFINERfunctions executable by anon- Public storage buckets
- Default privileges still granting CRUD to anon
- Auth signups with autoconfirm enabled
- Defense-in-depth: RLS-locked tables with stale anon grants
Why MCP and not just a CLI
CLIs are great. They're not in your AI agent's context. When you're vibing with Claude in your IDE, asking "is my supabase tight?" should get an actual scan, not a "you should run this command on your laptop."
The flow this enables:
- "Add a
subscriptionstable to my schema." → agent does it - "Now scan for security issues." → agent calls
audit_project - Agent notices the new table has no RLS.
- "Want to fix?" →
preview_fix, thenapply_fixafter you say yes.
That round-trip is the actual product. The audit is just step 2.
Roadmap
- [ ] Cron job audit (
pg_cron) - [ ] Edge function secrets scan
- [ ] Storage object-level RLS scan
- [ ] HTML report generation as a tool (returns base64 + filename)
- [ ] CORS configuration check
License
MIT.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.