Best MCP servers for databases
If you want an AI agent that can answer questions about your data, draft queries, or help debug a schema, you need a database MCP server, ideally one that can run in a read-only mode so the agent cannot do damage while it explores. The right pick depends on your stack: a Supabase project has different needs than a bare Postgres instance, and a team running several engines benefits from a single universal gateway. Below are the servers we recommend for database work, why each earns its place, and how a documentation server rounds out the setup so the agent writes correct SQL and ORM code instead of guessing. Every pick here has a verified, current install config.
Supabase
Supabase (community)
Connects agents to a Supabase project: run SQL, inspect schema, read logs, and manage edge functions.
The official-community Supabase server covers the whole project, schema, SQL, logs, and edge functions, and ships a --read-only flag so you can point an agent at a project without write risk.
Supabase for databases →DBHub (Postgres)
Bytebase
A universal database MCP gateway that connects agents to Postgres (and others) via a DSN.
DBHub is the maintained replacement for the archived reference Postgres server. Give it a DSN and it runs transaction-aware SQL and explores schema progressively, across Postgres and four other engines.
DBHub (Postgres) for databases →Context7
Upstash
Pulls version-accurate library docs and code examples into your agent's context on demand.
Pair a database server with Context7 so the agent fetches current docs for your ORM or SQL dialect and writes correct queries instead of hallucinating an outdated API.
Context7 for databases →