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Database MCP servers give your AI assistant direct access to your databases — from PostgreSQL and MySQL to MongoDB and BigQuery. Query data, inspect schemas, manage tables, and run analytics through natural language instead of writing SQL manually. Whether you're using Supabase, Neon, or a self-hosted database, there's an MCP server that connects it to your AI workflow.
MCP Server Listings
Prisma Postgres
Prisma's provides two MCP servers: a local and a remote one. See below for specific information on each. If you're a developer working on a local machine and want your AI agent to help with your database workflows, use the local MCP server. If you're building an "AI platform" and want to give the ability to manage database to your users, use the remote MCP server.
PineMCP (Multi-Database)
Provides unified database access across PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, Microsoft SQL Server, and Amazon DynamoDB with 25+ tools for operations, schema management, data export/import, query performance analysis, and transaction support through a comprehensive adapter pattern architecture.
Redshift Utils
Provides Amazon Redshift database administration tools for cluster health monitoring, query performance analysis, workload management, and diagnostic operations through AWS Data API integration with over 40 curated SQL scripts for production database maintenance.