Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
dbhub is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view bytebase/dbhub --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 142 days ago.
2858 GitHub stars indicate community interest.
13 open issues signal maintenance load.
MIT license detected.
3 security/trust notes recorded.
Setup difficulty is 2/5.
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A secure MCP server for AI applications to interact with MySQL databases.
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DBHub is a lightweight tool that lets AI coding assistants like Claude or Cursor connect to databases. It supports PostgreSQL, MySQL, SQL Server, MariaDB, and SQLite. You can run SQL queries and explore database schemas without installing heavy dependencies.
DBHub is a Model Context Protocol (MCP) server that provides a unified gateway for MCP-compatible AI agents to interact with multiple database systems. It is designed to be minimal and token-efficient, exposing only two core MCP tools (execute_sql and search_objects) to maximize the context window for AI interactions. DBHub supports PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite, and allows simultaneous connections to multiple databases via a TOML configuration file. It includes safety features such as read-only mode, row limiting, and query timeout to prevent runaway operations. Additionally, it supports SSH tunneling and SSL/TLS encryption for secure access. DBHub can be run via Docker or npm, and includes a built-in web workbench for visual database interaction.
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Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
AI/ML developers building agentic workflows that need database access, Full-stack developers using AI coding assistants like Claude or Cursor, Database administrators who want to integrate AI tools with their databases
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Running in read-write mode could allow AI agents to modify or delete data; use read-only mode for production. Exposing the server without authentication may lead to unauthorized database access.
Similar or complementary options to evaluate include MCP Server Collection, context7, mysql_mcp_server.
Aug 20, 2026