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Image DBHub is a zero-dependency, token efficient MCP server implementing the Model Context Protocol server interface. This lightweight gateway allows MCP-compatible clients to connect to and explore different databases. 
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 |  Claude Desktop  +--->+              +--->+    PostgreSQL    |
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 |  Claude Code     +--->+              +--->+    SQL Server    |
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 |  Cursor          +--->+    DBHub     +--->+    SQLite        |
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 |  VS Code         +--->+              +--->+    MySQL         |
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 |  Other Clients   +--->+              +--->+    MariaDB       |
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     MCP Clients           MCP Server             Databases

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Supported Databases

PostgreSQL, MySQL, SQL Server, MariaDB, and SQLite.

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Why DBHub?

DBHub brings powerful database capabilities to AI coding assistants:
  • Local Development First: Zero dependency, token efficient with just two MCP tools to maximize context window
  • Multi-Database: PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite through a single interface
  • Multi-Connection: Connect to multiple databases simultaneously with TOML configuration
  • Guardrails: Read-only mode, row limiting, and query timeout to prevent runaway operations
  • Secure Access: SSH tunneling and SSL/TLS encryption

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Key Features

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MCP Tools

DBHub provides AI assistants with direct database access through three core tools:
  • execute_sql: Run queries with transaction support and safety controls
  • search_objects: Explore schemas, tables, columns, indexes, and procedures
  • Custom Tools: Define reusable, parameterized SQL operations

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Workbench

A web-based interface for running database tools and viewing request traces without requiring an MCP client.

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Architecture

DBHub acts as a gateway between databases and AI agents. AI agents access databases through the /mcp endpoint using MCP tools, while the Workbench provides direct browser-based access for humans.

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Getting Started

Installation

Install DBHub using Docker, NPM, or pre-built binaries

Quickstart

Get DBHub running with your first database connection