Postgres MCPvsSupabasevsNeon MCP
Three database MCP servers, each built for a different workflow. We installed all three, ran a twelve-hour evaluation across Claude Desktop, Cursor, and VS Code, and measured what actually ships.
Choosing a database MCP server is the architectural decision that ripples through every other choice an agent makes about your data. The wrong server lets an over-eager model run irreversible DDL, leaks credentials into transcripts, or silently drops transactions you assumed were atomic. The right one gives you EXPLAIN plans, scoped credentials, and a read-only mode you can flip with a flag. We installed and ran all three of these servers against real Postgres workloads over twelve hours each: schema introspection, write paths, transaction boundaries, RLS enforcement, and the install experience across Claude Desktop, Cursor, and VS Code. This page is the side-by-side breakdown — what each server gets right, where each one gives ground, and which one earns the recommendation for your shape of work.
The short version.
Postgres MCP
Supabase
Neon MCP
11 signals, measured side by side.
npx @mcp/server-postgresnpx supabase-mcp-servernpx @neondatabase/mcp-server-neonWhat each server hands the model.
The amber-flagged rows are tools unique to that server.
There is no “best.” There is best-for.
If you are running Postgres in production and you want a server that behaves like production infrastructure, the official Postgres MCP is the safe, boring, correct choice. Supabase wins the moment your workflow crosses into auth, storage, or RLS. Neon branching is the one feature we would miss most in a migration-heavy workflow.
Production Postgres. Existing clusters, DBA-governed schemas, workflows where EXPLAIN and transactions matter more than convenience.
Full-stack prototyping. Greenfield apps needing auth, storage, and RLS in one surface. The BaaS integration is the differentiator.
Migration-heavy work. Branching makes every schema change reversible. Ideal when agents are writing DDL on your behalf.
How we tested these servers
Each server ran against an identical Postgres 16 cluster on a quiet network for twelve hours. We exercised the full read path (schema introspection, queries, EXPLAIN), the write path (DDL, DML, rollback behavior), and the transaction model. Auth was tested under both happy and adversarial conditions: invalid keys, scoped roles, RLS edge cases. Performance numbers were captured on the same hardware to keep cold-start and p95 figures comparable.
- Schema introspection accuracy and completeness
- Write path safety: DDL gating, transaction boundaries, rollback
- EXPLAIN plan output structure and parseability
- Auth: env var, OAuth, API key, scoped roles
- RLS / row-level enforcement behaviour under anon vs service keys
- Cold start latency and p95 query latency
- Memory footprint at idle and under load
- Install and configuration experience across 4 MCP clients
- Replication and high-availability scenarios
- Sustained load above 100 concurrent connections
- Network partition and recovery behaviour
- Custom extensions (pgvector, PostGIS) beyond a smoke test
What each one gets right. Where it gives ground.
- Explicit transaction tools (BEGIN/COMMIT) as first-class operations
- EXPLAIN plan output returns as structured JSON
- Read-only mode via CLI flag, no config surgery needed
- Fastest cold start in the category at 180ms
- 14 tools covering schema introspection, queries, and admin operations
- Connection-string-only auth, no OAuth flow
- No built-in branching for reversible migrations
- Zero BaaS features — this is a database client only
- Full Postgres query access with RLS enforcement
- Schema management (create tables, add columns, set up policies)
- Auth user management and storage bucket operations
- Read-only mode available for safe exploration
- Supabase-specific (general Postgres uses the postgres-mcp server)
- Complex RLS policies can produce unexpected query results for agents
- Database branching via create_branch and restore_to_point
- OAuth with refreshable tokens — the cleanest auth story
- Lowest open-issue count (18); well-maintained for its size
- Fewest tools (9) and narrowest feature set of the three
- Scale-to-zero means cold branches add 300-500ms to first query
- No EXPLAIN tooling; rely on psql for query tuning
Minimum config to get each running.
{
"mcpServers": {
"postgres": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-postgres"
],
"env": {
"DATABASE_URL": "postgres://user:pw@host:5432/db",
"READ_ONLY": "false"
}
}
}
}
{
"mcpServers": {
"supabase": {
"command": "npx",
"args": ["-y", "@supabase/mcp-server-supabase@latest", "--access-token", "your-token"]
}
}
}
{
"mcpServers": {
"neon": {
"command": "npx",
"args": [
"-y",
"@neondatabase/mcp-server-neon"
],
"env": {
"NEON_API_KEY": "napi_...",
"NEON_PROJECT_ID": "autumn-haze-12345"
}
}
}
}
Common questions, answered.
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