Best MCP servers for database management
Most real work an agent does eventually touches a database, inspecting a schema, running a query, checking a row before acting, or proposing a migration. An MCP server for your database turns the model into something that can actually read and reason over your data instead of guessing at it. The right choice depends on your engine and your hosting: a classic relational database, a document store, or a managed serverless Postgres platform with branching. Whatever you run, the recurring need is the same, let the agent introspect schemas and run real (ideally read-scoped) queries against live data. The servers below are real MCP servers with current, verified install configs.
DBHub (Postgres)
Bytebase
A universal database MCP gateway that connects agents to Postgres (and others) via a DSN.
The Postgres server lets an agent introspect schemas and run SQL against a Postgres database, the default pick for the most common relational engine in modern stacks.
MySQL (DBHub)
Bytebase
Connect an agent to a MySQL database with Bytebase's DBHub: run SQL and explore schema through one universal database MCP server.
The MySQL server gives an agent schema inspection and query access to MySQL/MariaDB databases, essential for the large base of apps built on MySQL.
MongoDB
MongoDB
MongoDB's official MCP server: query and manage databases, plus Atlas cluster administration.
MongoDB's official server lets an agent explore collections and run queries and aggregations against a document database, the right tool when your data isn't relational.
Supabase
Supabase (community)
Connects agents to a Supabase project: run SQL, inspect schema, read logs, and manage edge functions.
Supabase's official server manages a hosted Postgres project end to end, schema, queries, and project operations, ideal for teams building on Supabase.
Neon
Neon
Neon's official MCP server lets agents create projects and branches, run SQL, and drive safe schema migrations on serverless Postgres.
Neon's server adds serverless Postgres with branching, so an agent can spin up an isolated database branch to test a change before touching production.