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DBHub Analytics

作者:amansingh63版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.amansingh63/dbhub-analytics

安装

概览

作者提供的说明(英文原文)

MCP server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集
  • 你需要填写:DSN, DB_PASSWORD, SSH_PASSWORD, SSH_PASSPHRASE

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: DSN, DB_TYPE, DB_HOST, DB_PORT, DB_USER, DB_PASSWORD, DB_NAME, TRANSPORT, PORT, ID, SSH_HOST, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_KEY, SSH_PASSPHRASE

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "dbhub-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "dbhub-analytics"
      ],
      "env": {
        "DSN": "your-value",
        "DB_TYPE": "your-value",
        "DB_HOST": "your-value",
        "DB_PORT": "your-value",
        "DB_USER": "your-value",
        "DB_PASSWORD": "your-value",
        "DB_NAME": "your-value",
        "TRANSPORT": "your-value",
        "PORT": "your-value",
        "ID": "your-value",
        "SSH_HOST": "your-value",
        "SSH_PORT": "your-value",
        "SSH_USER": "your-value",
        "SSH_PASSWORD": "your-value",
        "SSH_KEY": "your-value",
        "SSH_PASSPHRASE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add dbhub-analytics --env DSN=your-value --env DB_TYPE=your-value --env DB_HOST=your-value --env DB_PORT=your-value --env DB_USER=your-value --env DB_PASSWORD=your-value --env DB_NAME=your-value --env TRANSPORT=your-value --env PORT=your-value --env ID=your-value --env SSH_HOST=your-value --env SSH_PORT=your-value --env SSH_USER=your-value --env SSH_PASSWORD=your-value --env SSH_KEY=your-value --env SSH_PASSPHRASE=your-value -- npx -y dbhub-analytics

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "dbhub-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "dbhub-analytics"
      ],
      "env": {
        "DSN": "your-value",
        "DB_TYPE": "your-value",
        "DB_HOST": "your-value",
        "DB_PORT": "your-value",
        "DB_USER": "your-value",
        "DB_PASSWORD": "your-value",
        "DB_NAME": "your-value",
        "TRANSPORT": "your-value",
        "PORT": "your-value",
        "ID": "your-value",
        "SSH_HOST": "your-value",
        "SSH_PORT": "your-value",
        "SSH_USER": "your-value",
        "SSH_PASSWORD": "your-value",
        "SSH_KEY": "your-value",
        "SSH_PASSPHRASE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "dbhub-analytics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "dbhub-analytics"
      ],
      "env": {
        "DSN": "your-value",
        "DB_TYPE": "your-value",
        "DB_HOST": "your-value",
        "DB_PORT": "your-value",
        "DB_USER": "your-value",
        "DB_PASSWORD": "your-value",
        "DB_NAME": "your-value",
        "TRANSPORT": "your-value",
        "PORT": "your-value",
        "ID": "your-value",
        "SSH_HOST": "your-value",
        "SSH_PORT": "your-value",
        "SSH_USER": "your-value",
        "SSH_PASSWORD": "your-value",
        "SSH_KEY": "your-value",
        "SSH_PASSPHRASE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • DSN 机密 env
    Database connection string (e.g., postgres://user:pass@host:5432/db)
  • DB_TYPE env
    Database type: postgres, mysql, mariadb, sqlserver, sqlite, databricks, bigquery
  • DB_HOST env
    Database hostname
  • DB_PORT env
    Database port
  • DB_USER env
    Database username
  • DB_PASSWORD 机密 env
    Database password
  • DB_NAME env
    Database name or SQLite file path
  • TRANSPORT env
    Transport mode: stdio or http
  • PORT env
    HTTP server port (default: 8080)
  • ID env
    Instance identifier for tool names
  • SSH_HOST env
    SSH server hostname
  • SSH_PORT env
    SSH server port (default: 22)
  • SSH_USER env
    SSH username
  • SSH_PASSWORD 机密 env
    SSH password
  • SSH_KEY env
    Path to SSH private key
  • SSH_PASSPHRASE 机密 env
    SSH key passphrase

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 amansingh63 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 954 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 954 个服务器的 8% 更新
  • 基础检查结果等于或优于此分类中其他 954 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

DBHub Analytics 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:DSN, DB_PASSWORD, SSH_PASSWORD, SSH_PASSPHRASE

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.0)于7个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0昨天更新
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MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.03天前更新
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MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
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作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

DBHub Analytics Universal Database MCP Server for Databricks, Google BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB

Built on top of DBHub by Bytebase.

What is DBHub Analytics?

DBHub Analytics is an open-source MCP (Model Context Protocol) server that connects AI assistants like Claude Desktop, Claude Code, Cursor, VS Code Copilot, and other MCP-compatible clients to your databases. Query Databricks SQL warehouses, Google BigQuery datasets, PostgreSQL, MySQL, and more — all through a single unified interface.

            +------------------+    +--------------+    +------------------+

| | | | | | | Claude Desktop +--->+ +--->+ PostgreSQL | | | | | | | | Claude Code +--->+ +--->+ SQL Server | | | | DBHub | | | | Cursor +--->+ Analytics +--->+ SQLite | | | | | | | | VS Code +--->+ +--->+ MySQL | | | | | | | | Copilot CLI +--->+ +--->+ MariaDB | | | | | | | | | | +--->+ Databricks | | | | | | | | | | +--->+ BigQuery | | | | | | | +------------------+ +--------------+ +------------------+ MCP Clients MCP Server Databases

Key Features

  • Cloud Data Warehouses: Connect to Databricks SQL and Google BigQuery for analytics workloads
  • Traditional Databases: Full support for PostgreSQL, MySQL, MariaDB, SQL Server, SQLite
  • Multi-Database: Connect to multiple databases simultaneously with a single TOML config file
  • Schema Explorer: Progressive disclosure — browse catalogs, datasets, schemas, tables, and columns
  • Safety Guardrails: Read-only mode, row limits, and query timeouts to prevent runaway operations
  • Secure Access: SSH tunneling, SSL/TLS encryption, and service account authentication
  • Zero Config: Just provide a DSN — no drivers to install, no complex setup

Supported Databases

DatabaseDSN ProtocolStatus
PostgreSQLpostgres://Stable
MySQLmysql://Stable
MariaDBmariadb://Stable
SQL Serversqlserver://Stable
SQLitesqlite:///Stable
Databricks SQLdatabricks://Stable
Google BigQuerybigquery://Stable

MCP Tools

ToolDescription
execute_sqlExecute SQL queries with read-only enforcement and row limiting
search_objectsBrowse catalogs, schemas, tables, columns, indexes, and routines
Custom ToolsDefine reusable, parameterized SQL queries in dbhub.toml

Quick Start

NPM (recommended)
npx dbhub-analytics --dsn "postgres://user:password@localhost:5432/dbname"
Databricks SQL
npx dbhub-analytics --dsn "databricks://token:YOUR_TOKEN@your-workspace.cloud.databricks.com/sql/2.0/warehouses/your_warehouse_id"
Google BigQuery
npx dbhub-analytics --dsn "bigquery://your-gcp-project/your_dataset?keyFile=/path/to/service-account.json&location=US"
Docker
docker run --rm --init \

--name dbhub-analytics \ --publish 8080:8080 \ amansingh63/dbhub-analytics \ --transport http \ --port 8080 \ --dsn "postgres://user:password@localhost:5432/dbname"

Demo Mode
npx dbhub-analytics --demo

Connect to Your AI Assistant

Claude Desktop / Claude Code

Add to your claude_desktop_config.json or .mcp.json:

{

"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "bigquery://your-project/your_dataset?keyFile=/path/to/sa.json&location=US"] } } }

GitHub Copilot (VS Code)

Add to your .vscode/mcp.json:

{

"servers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "postgres://user:pass@localhost:5432/dbname"] } } }

Cursor

Add to your Cursor MCP settings (~/.cursor/mcp.json):

{

"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "databricks://token:YOUR_TOKEN@host/sql/2.0/warehouses/ID"] } } }

Windsurf

Add to your Windsurf MCP config (~/.codeium/windsurf/mcp_config.json):

{

"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "mysql://user:pass@localhost:3306/dbname"] } } }

Multi-Database via TOML Config

For connecting to multiple databases, use a TOML config file with any of the above clients:

{

"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--config", "/path/to/dbhub.toml"] } } }

Configuration

DSN Connection Strings
DatabaseFormat
PostgreSQLpostgres://user:pass@host:5432/dbname?sslmode=require
MySQLmysql://user:pass@host:3306/dbname
MariaDBmariadb://user:pass@host:3306/dbname
SQL Serversqlserver://user:pass@host:1433/dbname
SQLitesqlite:///path/to/file.db or sqlite:///:memory:
Databricksdatabricks://token:TOKEN@host/sql/2.0/warehouses/ID?catalog=CAT&schema=SCH
BigQuerybigquery://PROJECT_ID/DATASET?keyFile=/path/to/key.json&location=US
Multi-Database Setup (TOML)

Connect to multiple databases simultaneously. Create a dbhub.toml file:

[[sources]]

id = "databricks_prod" type = "databricks" host = "adb-xxx.azuredatabricks.net" password = "dapi..." path = "/sql/2.0/warehouses/abc123"

[[sources]] id = "bigquery_analytics" type = "bigquery" project = "my-gcp-project" database = "analytics_dataset" location = "US"

[[sources]] id = "postgres_prod" type = "postgres" host = "localhost" port = 5432 database = "production" user = "dbuser" password = "secret"

Then run:

npx dbhub-analytics --config dbhub.toml

See Multi-Database Configuration and Command-Line Options for complete documentation.

Use Cases

  • Data Analysts: Ask Claude to query your Databricks or BigQuery data warehouse in natural language
  • Backend Engineers: Explore database schemas, run diagnostic queries, and debug issues via AI
  • DevOps/SRE: Connect to production read-replicas safely with read-only mode and row limits
  • Data Scientists: Query multiple databases simultaneously — join insights across PostgreSQL and BigQuery

Development

# Install dependencies

pnpm install

Run in development mode

pnpm dev

Build for production

pnpm build

Run tests

pnpm test

Credits

Built on top of DBHub by Bytebase, an open-source database DevSecOps platform. Licensed under MIT.

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