A database MCP server lets an AI explore your schema, run queries and help with migrations. The right pick depends on your engine and whether you value a dedicated server or one universal tool. Here is how to choose in 2026.
The universal pick: DBHub
If you touch several engines, DBHub speaks Postgres, MySQL, MariaDB, SQL Server and SQLite through a single DSN. One config, read-only flag, done:
npx -y @bytebase/dbhub --transport stdio --readonly --dsn "postgres://user:pass@host:5432/db"
Best for: developers who jump between databases, or who want one server to maintain. See the MySQL setup for a full example.
Dedicated servers (deeper features)
- Postgres — mature, with read-only patterns and rich schema introspection. See Postgres MCP setup and the read-only Claude Desktop setup.
- MongoDB — official server from MongoDB, great for document workflows and Atlas. See MongoDB MCP setup.
- Supabase — more than a database: also projects, branches and migrations. See Supabase MCP setup.
Cloud warehouses
For analytics, BigQuery and Snowflake connect through Google's open-source MCP Toolbox for Databases. See BigQuery MCP setup and Snowflake MCP setup.
The one rule that matters: read-only
Whatever you pick, start in read-only mode. It lets the AI explore and query but never drop or mutate data — essential against anything shared or production. Every server above supports a read-only flag. More in MCP security best practices.
How to decide
- One engine, want depth → the dedicated server for it.
- Several engines, want simplicity → DBHub.
- Cloud warehouse → MCP Toolbox.
Browse them all in the databases category, or grab the backend developer stack.