About Bdash
Bdash is an MCP server in the Data category: simple SQL Client for lightweight data analysis.
Install
git clone https://github.com/bdash-app/bdashThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (7)
create_queryCreate a new query
Parameters not published.
get_queryGet query details by ID
Parameters not published.
get_table_schemaGet column definitions for a table
Parameters not published.
list_datasourcesList all configured data sources
Parameters not published.
list_queriesList all saved queries
Parameters not published.
list_tablesList tables for a data source
Parameters not published.
write_queryWrite SQL to a query's editor
Parameters not published.
Ask AI
Ask AI about Bdash
Powered by Claude · Grounded in docs
Security checks
- ✓README presentThe repository ships documentation.
5 checks have not been run yet.
README
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
- MySQL
- PostgreSQL (Amazon Redshift)
- SQLite3
- Google BigQuery
- Treasure Data
- 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
| Tool | Description |
|---|---|
list_datasources |
List all configured data sources |
list_queries |
List all saved queries |
get_query |
Get query details by ID |
write_query |
Write SQL to a query's editor |
create_query |
Create a new query |
list_tables |
List tables for a data source |
get_table_schema |
Get column definitions for a table |
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
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.