Redash

Query and visualize data with shareable dashboards and collaborative data exploration.

MCPCLI

About Redash

Query and visualize data with shareable dashboards and collaborative data exploration. Explore how Redash integrates with the agentic data stack ecosystem and supports autonomous data operations.

Key Features

  • SQL and NoSQL query editor with schema browser and autocomplete
  • Connects to 35+ data sources (SQL databases, cloud warehouses, APIs, CSV/Excel)
  • Drag-and-drop visualization builder (charts, pivot tables, maps, cohort tables)
  • Interactive dashboards combining multiple visualizations
  • Scheduled query execution and automatic dashboard refresh
  • Alerts triggered by query result thresholds (email, Slack, webhooks)
  • REST API for programmatic access to queries, results, dashboards, and metadata
  • Sharing via public links, embedded widgets, or organizational permissions

Agent Integration

CLI — manage.py (Docker)

$ docker compose run --rm server manage ...
CLI Documentation

External Links

Redash MCP Server

Node.js MCP server: list/execute queries, manage dashboards, create/update/archive queries

REST API Documentation

Official API docs covering query execution, dashboard management, alerts, and API key auth

Redash Python API Client

Python SDK for programmatic access: create data sources, queries, visualizations, dashboards

Redash CLI (koooge)

Unofficial CLI tool for Redash API operations from the command line

Redash GitHub

Official source code with API handler definitions for all REST endpoints

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