Multi Database MCP Server

What is Multi Database MCP Server?

The Multi Database MCP Server is a server that implements the Model Context Protocol (MCP) to give AI assistants structured access to multiple databases simultaneously. Built on the FreePeak/cortex framework, it lets AI models execute SQL queries, manage transactions, explore schemas, and analyze performance across MySQL, PostgreSQL, SQLite, Oracle, and TimescaleDB through a single, unified interface.

How to use Multi Database MCP Server?

Configure database connections in a config.json file, then run the server with ./bin/server -t <transport> -c <config.json>. Use STDIO mode (-t stdio) for IDE integration (e.g., Cursor) or SSE mode (-t sse) for remote access on a specified host and port (default localhost:9092). Docker deployment and source compilation from GitHub are also supported.

Key features of Multi Database MCP Server

• Simultaneous multi-database support with MySQL, PostgreSQL, SQLite, Oracle, and TimescaleDB
• Dynamic, database-specific tool generation for each configured connection
• Lazy loading mode to defer connections until first use
• Clean Architecture with clear separation of concerns
• Full compatibility with OpenAI Agents SDK
• Health check with automatic connectivity validation on startup
• Unified interface for queries, transactions, schema exploration, and performance analysis

Use cases of Multi Database MCP Server

• AI assistants running cross-database analytics and reporting across different SQL systems
• IDE integration enabling natural-language database queries via tools like Cursor
• Automated schema exploration and performance tuning across development and production databases
• Managing encrypted SQLite databases (SQLCipher) alongside cloud Oracle databases in one session
• Time-series analysis on TimescaleDB hypertables through AI-driven workflows

FAQ from Multi Database MCP Server

How does this server differ from a standard database connector?

Unlike a single-database connector, the Multi Database MCP Server connects to multiple databases concurrently and automatically generates specialized MCP tools for each connection, providing a unified interface for queries, transactions, schema exploration, and performance analysis.

What are the runtime requirements?

The server is built in Go and runs as a standalone binary. It requires a valid configuration file (JSON) with database connection details. For Docker deployment, use the freepeak/db-mcp-server:latest image.

How is data transmitted between the AI and the database?

Data flows through the MCP protocol via either STDIO (for local IDE integration) or SSE (Server-Sent Events) mode. The server handles authentication and connection management locally based on the provided configuration file.

What transport modes are supported?

Two transport modes are supported: STDIO (-t stdio) for local IDE integration, and SSE (-t sse) for remote access with a configurable host and port (default localhost:9092). The client connects to the SSE endpoint at http://<host>:<port>/sse.

Are there any known limits?

The README recommends enabling lazy loading (--lazy-loading flag) for setups with 10 or more databases to defer connection establishment until first use. All other limits depend on the underlying database systems and server resources.