Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Supabase MCP
Connects AI agents to Supabase for database queries, authentication, and edge functions through MCP.
Solid choice for most workflows
You need your AI agents to securely query Supabase databases, manage schemas, and invoke edge functions without exposing raw credentials or risking unchecked access.
Fast, secure tool discovery and execution with granular permissions; some features experimental (e.g., DB branches); scales to production workloads but requires client-side MCP support.
Your development workflow slows down because AI assistants can't contextually understand or modify your Supabase schema, auth rules, or edge functions.
Accurate, context-aware suggestions that respect RLS/security; migration scripts preserve data integrity; future storage/Edge Functions support pending.
Support teams and CI pipelines waste time manually debugging Supabase issues across logs, configs, and data without safe AI assistance.
Sub-second query routing and connection pooling shine at scale; AI excels at pattern detection but needs human oversight for destructive ops.
Storage tools not ready
File operations via MCP are in development; current focus is SQL, auth, migrations, and edge functions.
Client compatibility required
Only works with MCP-supporting clients (Cursor, Claude Desktop, VS Code extensions); generic LLMs need custom integration—test endpoint discovery first.
Trust Breakdown
What It Actually Does
Supabase MCP connects your AI tools like Cursor or Claude to Supabase projects, letting them create databases, design tables, run queries, and manage configs using plain English commands.[2][3]
Connects AI agents to Supabase for database queries, authentication, and edge functions through MCP.
Fit Assessment
Best for
- ✓database-query
- ✓data-analysis
- ✓memory-storage
Not ideal for
- ✗cost overruns from unoptimized database queries
- ✗auth MAU charges scaling unexpectedly beyond 100K users
- ✗egress and compute costs doubling with poor database design
Known Failure Modes
- cost overruns from unoptimized database queries
- auth MAU charges scaling unexpectedly beyond 100K users
- egress and compute costs doubling with poor database design
Score Breakdown
Protocol Support
npx -y @supabase/mcp-server-supabaseCapabilities
Governance
- permission-scoping
- audit-log
- rate-limiting
- resource-limits