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FreePeak/db-mcp-server
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
docker run -p 9092:9092 \{
"mcpServers": {
"stdio-db-mcp-server": {
"command": "/path/to/db-mcp-server/server",
"args": [
"-t",
"stdio",
"-c",
"/path/to/config.json"
]
}
}
}DB_CONFIGORACLE_TEST_HOSTTIMESCALEDB_TEST_HOSTMYSQL_TEST_HOSTPOSTGRES_TEST_HOSTOverview • Core Concepts • Features • Supported Databases • Deployment Options • Configuration • Available Tools • Examples • Troubleshooting • Contributing
Simultaneous Multi-Database Support: Connect to multiple MySQL, PostgreSQL, SQLite, and Oracle databases concurrently
Lazy Loading Mode: Defer connection establishment until first use - perfect for setups with 10+ databases (enable with --lazy-loading flag)
Database-Specific Tool Generation: Auto-creates specialized tools for each connected database
Clean Architecture: Modular design with clear separation of concerns
OpenAI Agents SDK Compatibility: Full compatibility for seamless AI assistant integration
Dynamic Database Tools: Execute queries, run statements, manage transactions, explore schemas, analyze performance
Unified Interface: Consistent interaction patterns across different database types
Connection Management: Simple configuration for multiple database connections
Health Check: Automatic validation of database connectivity on startup
Production Guardrails: Per-database read_only enforcement (blocks writes through both query_* and execute_* tools), max_rows result truncation with explicit notices, and per-query timeouts
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

supabase-community/supabase-mcp
The Model Context Protocol (MCP) standardizes how Large Language Models (LLMs) talk to external services like Supabase. It connects AI assistants directly with your Supabase project and allows them to perform tasks like managing tables, fetching config, and querying data. See the full list of tools.

googleapis/genai-toolbox
MCP Toolbox for Databases is an open source Model Context Protocol (MCP) server that connects your AI agents, IDEs, and applications directly to your enterprise databases.

alexander-zuev/supabase-mcp-server
Query MCP is an open-source MCP server that lets your IDE safely run SQL, manage schema changes, call the Supabase Management API, and use Auth Admin SDK — all with built-in safety controls.

MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.

stuzero/pg-mcp-server
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases. It provides a comprehensive API for AI agents to discover, connect to, query, and understand PostgreSQL databases through MCP's resource-oriented architecture.

bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.