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Tool connections (MCP)

DBHub

bytebase/dbhub

Connect an assistant to PostgreSQL, MySQL, SQLite and other SQL databases.

What is DBHub?

Prepared by LessAI Tools from public project documentation

Bytebase's lightweight MCP connects an assistant to several SQL databases through one server. It supports schema exploration, queries, multiple connections and configurable read-only, row-limit and timeout controls. It requires existing databases and credentials and runs via npm or Docker. The code uses MIT licensing; database hosting costs remain separate. It is distinct from Bytebase's enterprise approval and auditing platform.

DBHub setup documentation

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

DBHub use cases

  • Connect to multiple SQL database systems
  • Explore schemas and execute queries
  • Configure read-only access, row limits and query timeouts

Official project & documentation

The project’s original description

Token conscious database MCP server for Postgres, MySQL, SQL Server, Oracle, MariaDB, SQLite.

Alternatives to DBHub for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • ClickHouse MCP — Let an assistant inspect ClickHouse tables and query analytical data.
  • Neon MCP Server — Explore and manage Neon Postgres databases from your coding assistant.
  • dbt MCP Server — Give an assistant dbt project context and tools for data workflows.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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