Your AI assistant can now query your database directly. No more copy-pasting SQL results into chat. But there are 183 database MCP servers — which one actually works for YOUR stack?
I tested the top 6 across Postgres, MySQL, SQLite, MongoDB, Redis, and Supabase.
Quick Decision Table
| Your Database | Use This | Why |
|---|---|---|
| PostgreSQL | @modelcontextprotocol/server-postgres |
Official MCP team. Read-only by default. Stable. |
| MySQL | @benborla29/mcp-server-mysql |
Best MySQL support with schema introspection |
| SQLite | @modelcontextprotocol/server-sqlite |
Official. Great for local dev + prototyping |
| MongoDB | mcp-mongo-server |
Full CRUD with aggregation pipeline support |
| Redis | @modelcontextprotocol/server-redis |
Official. Key-value ops + pub/sub |
| Supabase | @supabase/mcp-server |
Supabase-specific: auth, storage, edge functions, not just SQL |
PostgreSQL — The Safe Default
If you're on Postgres (and most of you are), use the official one:
# Claude Code
claude mcp add postgres npx -y @modelcontextprotocol/server-postgres postgresql://user:pass@localhost/mydb
# For Cursor, add to .cursor/mcp.json. For other MCP editors, use your editor's config.
It connects read-only by default. Your AI can explore schemas, run SELECT queries, and analyze data without risking writes. Perfect for "what does my user_sessions table look like?" or "find all orders over $100 from last week."
When to pick something else: If you need write access or Postgres-specific features (pgvector, PostGIS), look at the specialized servers on Protodex's database category.
Supabase — More Than a Database
If you're on Supabase, don't use the generic Postgres server. The Supabase MCP server understands your whole stack:
# Claude Code
claude mcp add supabase npx -y @supabase/mcp-server
# Works with any MCP-compatible editor (Cursor, Goose, Windsurf, etc.)
It can manage auth users, storage buckets, edge functions, and RLS policies — not just SQL. "Create a new table with RLS for authenticated users" works as one prompt.
SQLite — For Prototyping
Building something locally? SQLite MCP is the fastest way to give your AI a database:
# Claude Code
claude mcp add sqlite npx -y @modelcontextprotocol/server-sqlite /path/to/your.db
# Works with any MCP-compatible editor
Point it at any .db file. Instant data exploration. I use this for analyzing datasets — drop a CSV into SQLite, connect MCP, ask questions.
MongoDB — When Your Data Isn't Relational
# Claude Code
claude mcp add mongo npx -y mcp-mongo-server mongodb://localhost:27017/mydb
# Works with any MCP-compatible editor
Full aggregation pipeline support. "Show me the average order value grouped by country for the last 30 days" translates directly to a Mongo aggregation.
Security Warning
Every database MCP server has your connection string. Before installing any:
- Use read-only credentials when possible
- Never use production credentials in your MCP config (config files are typically plain text)
- Check the security score on Protodex before installing
- Prefer official servers (marked ✓ Secure on Protodex) over community ones
All 183 Database MCP Servers
These 6 cover most use cases, but there are specialized servers for: TimescaleDB, ClickHouse, DuckDB, Neo4j, Elasticsearch, Pinecone, Qdrant, Weaviate, and more.
→ Browse all database MCP servers on Protodex
Protodex — 5,618 MCP servers with security scores and one-click install for Claude Desktop, Cursor, Goose, and more.
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