Database MCP
@cocaxcode
Talk to your databases in natural language. Multi-database MCP server (PostgreSQL, MySQL, SQLite) with 19 tools for connection management, schema introspection, query execution, rollback snapshots, and query history. Auto-discovers schema with FKs so AI agents can build JOINs fro
Overview
What is Database MCP?
Database MCP is a multi-database MCP (Model Context Protocol) server that supports PostgreSQL, MySQL, and SQLite. It provides 19 tools for connection management, schema introspection, query execution, rollback snapshots, and query history, enabling AI agents to interact with databases using natural language.
How to use Database MCP?
Configure database connections via the provided tools, then issue natural language queries. The server auto‑discovers schema with foreign keys so AI agents can build JOINs from natural language. Destructive operations require explicit confirmation before execution.
Key features of Database MCP
- Supports PostgreSQL, MySQL, and SQLite databases
- 19 tools for connection management, schema, queries, rollbacks, and history
- Auto‑discovers schema with foreign keys for intelligent JOINs
- Natural language to SQL translation
- Rollback snapshots for safe query experimentation
- Confirmation required for destructive operations
Use cases of Database MCP
- Developers querying multiple database types via natural language
- AI agents automatically building JOINs from schema foreign keys
- Safe query experimentation with rollback snapshots
- Reviewing past queries through built‑in query history
FAQ from Database MCP
Which databases does Database MCP support?
PostgreSQL, MySQL, and SQLite.
What tools are available in Database MCP?
It offers 19 tools covering connection management, schema introspection, query execution, rollback snapshots, and query history.
Does Database MCP require confirmation for destructive actions?
Yes, destructive operations require explicit confirmation before execution.
How does schema auto‑discovery work?
It automatically discovers schema including foreign keys, enabling AI agents to generate correct JOINs from natural language queries.
