DBHub Analytics

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

Database	DSN Protocol	Status
PostgreSQL	postgres://	Stable
MySQL	mysql://	Stable
MariaDB	mariadb://	Stable
SQL Server	sqlserver://	Stable
SQLite	sqlite:///	Stable
Databricks SQL	databricks://	Stable
Google BigQuery	bigquery://	Stable

MCP Tools

Tool	Description
execute_sql	Execute SQL queries with read-only enforcement and row limiting
search_objects	Browse catalogs, schemas, tables, columns, indexes, and routines
Custom Tools	Define 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:[email protected]/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

Database	Format
PostgreSQL	postgres://user:pass@host:5432/dbname?sslmode=require
MySQL	mysql://user:pass@host:3306/dbname
MariaDB	mariadb://user:pass@host:3306/dbname
SQL Server	sqlserver://user:pass@host:1433/dbname
SQLite	sqlite:///path/to/file.db or sqlite:///:memory:
Databricks	databricks://token:TOKEN@host/sql/2.0/warehouses/ID?catalog=CAT&schema=SCH
BigQuery	bigquery://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.