
Redash
STDIOMCP server integrating Redash with AI assistants for data query and dashboard management
MCP server integrating Redash with AI assistants for data query and dashboard management
Model Context Protocol (MCP) server for integrating Redash with AI assistants like Claude.
The server requires the following environment variables:
REDASH_URL
: Your Redash instance URL (e.g., https://redash.example.com)REDASH_API_KEY
: Your Redash API keyOptional variables:
REDASH_TIMEOUT
: Timeout for API requests in milliseconds (default: 30000)REDASH_MAX_RESULTS
: Maximum number of results to return (default: 1000)Clone this repository:
git clone https://github.com/suthio/redash-mcp.git cd redash-mcp
Install dependencies:
npm install
Create a .env
file with your Redash configuration:
REDASH_URL=https://your-redash-instance.com
REDASH_API_KEY=your_api_key
Build the project:
npm run build
Start the server:
npm start
To use this MCP server with Claude for Desktop, configure it in your Claude for Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the following configuration (edit paths as needed):
{ "mcpServers": { "redash": { "command": "npx", "args": [ "-y", "@suthio/redash-mcp" ], "env": { "REDASH_API_KEY": "your-api-key", "REDASH_URL": "https://your-redash-instance.com" } } } }
list-queries
: List all available queries in Redashget-query
: Get details of a specific querycreate-query
: Create a new query in Redashupdate-query
: Update an existing query in Redasharchive-query
: Archive (soft-delete) a querylist-data-sources
: List all available data sourcesexecute-query
: Execute a query and return resultslist-dashboards
: List all available dashboardsget-dashboard
: Get dashboard details and visualizationsget-visualization
: Get details of a specific visualizationRun in development mode:
npm run dev
MIT