Bdash

Simple SQL Client for lightweight data analysis.

Feature

Saving query

Drawing chart

Sharing result

You can share the result with gist.

https://gist.github.com/hokaccha/e128e1c3a68527ebf2c50d5e95a089b1

Multiple data sources support

• [x] MySQL
• [x] PostgreSQL (Amazon Redshift)
• [x] SQLite3
• [x] Google BigQuery
• [x] Treasure Data
• [x] Amazon Athena

MCP Server Support

Bdash includes an MCP (Model Context Protocol) server that enables AI coding tools like Claude Code to:

• List data sources, tables, and schema information
• Read and write SQL queries in Bdash's editor
• Create new queries

Setup (Development)

# Install MCP server dependencies
yarn mcp:install

# Build MCP server
yarn mcp:build

Add to your Claude Code MCP settings (.claude/settings.json or project-level):

{
  "mcpServers": {
    "bdash": {
      "command": "node",
      "args": ["/path/to/bdash/src/mcp/dist/server.js"]
    }
  }
}

Setup (Bundled App - macOS)

{
  "mcpServers": {
    "bdash": {
      "command": "node",
      "args": ["/Applications/Bdash.app/Contents/Resources/mcp/server.js"]
    }
  }
}

Available Tools

Installation

You can download and install from Web Site or Releases

Development

You can start the application with following commands.

# Install dependencies
$ yarn

# Run following commands with different shell processes.
$ yarn watch
$ yarn start

Release

To create a draft release on GitHub, run the following command with the next version name:

$ ./scripts/release 1.xx.x

This will trigger GitHub Action jobs to generate application binaries.

Once the jobs have been completed, you can publish the draft release on GitHub. It is recommended to include change logs as part of the release description.

License

MIT