redash-mcp

redash-mcp

MCP server that connects Redash to Claude AI, enabling natural language data queries, dashboard management, and SQL execution.

Category
Visit Server

README

redash-mcp

npm version Downloads Node

English | 한국어 | 日本語

MCP server that connects Redash to Claude AI — query data, manage dashboards, and run SQL with natural language.

Features · Install · Env · Examples · Privacy


Features

Tools

Category Tool Description
Data Sources list_data_sources List connected data sources
Schema list_tables List tables (supports keyword search)
Schema get_table_columns Get column names and types
Query run_query Execute SQL and return results
Saved Queries list_queries List saved queries
Saved Queries get_query Get query details (SQL, visualizations)
Saved Queries get_query_result Run a saved query and get results
Saved Queries create_query Save a new query
Saved Queries update_query Update a saved query
Saved Queries fork_query Fork a saved query
Saved Queries archive_query Archive (delete) a query
Dashboards list_dashboards List dashboards
Dashboards get_dashboard Get dashboard details and widgets
Dashboards create_dashboard Create a new dashboard
Dashboards add_widget Add a visualization widget to a dashboard
Alerts list_alerts List alerts
Alerts get_alert Get alert details
Alerts create_alert Create a new alert

SQL Safety Guard

Protects your database from dangerous queries:

  • Blocked always: DROP, TRUNCATE, ALTER TABLE, GRANT/REVOKE, DELETE/UPDATE without WHERE
  • Warned (warn mode) / Blocked (strict mode): SELECT *, queries without WHERE or LIMIT, PII column access
  • Auto-LIMIT: Automatically appends LIMIT N when REDASH_AUTO_LIMIT is set

Query Cache

Results are cached in-memory to reduce redundant API calls:

  • TTL: configurable via REDASH_MCP_CACHE_TTL (default: 300s)
  • Max memory: configurable via REDASH_MCP_CACHE_MAX_MB (default: 50MB)

Installation

Auto Setup (Recommended)

npx redash-mcp setup

The setup wizard will guide you through configuring Claude Desktop, Claude Code (CLI), or both.

Shell Script Install

Installs Node.js, Claude Desktop, and MCP config all at once:

curl -fsSL https://raw.githubusercontent.com/seob717/redash-mcp/main/install.sh | bash

Manual Setup

1. Get your Redash API Key

Go to Redash → Profile (top right) → Edit Profile → Copy API Key

2-A. Claude Desktop

Open ~/Library/Application Support/Claude/claude_desktop_config.json and add:

{
  "mcpServers": {
    "redash-mcp": {
      "command": "npx",
      "args": ["-y", "redash-mcp"],
      "env": {
        "REDASH_URL": "https://your-redash-instance.com",
        "REDASH_API_KEY": "your_api_key_here"
      }
    }
  }
}

Fully quit and restart Claude Desktop after saving.

2-B. Claude Code (CLI)

Open ~/.claude/settings.json and add:

{
  "mcpServers": {
    "redash-mcp": {
      "command": "npx",
      "args": ["-y", "redash-mcp"],
      "env": {
        "REDASH_URL": "https://your-redash-instance.com",
        "REDASH_API_KEY": "your_api_key_here"
      }
    }
  }
}

macOS: If npx is not found, run which npx to get the full path and use that instead.


Environment Variables

Required

Variable Description
REDASH_URL Redash instance URL (e.g. https://redash.example.com)
REDASH_API_KEY Redash user API key

Optional

Variable Default Description
REDASH_SAFETY_MODE warn SQL safety level: off / warn / strict
REDASH_SAFETY_DISABLE_PII false Disable PII detection
REDASH_SAFETY_DISABLE_COST false Disable cost warnings
REDASH_AUTO_LIMIT 0 Auto-append LIMIT N to queries without one (0 = disabled)
REDASH_DEFAULT_MAX_AGE 0 Redash cache TTL in seconds
REDASH_MCP_CACHE_TTL 300 MCP query cache TTL in seconds (0 = disabled)
REDASH_MCP_CACHE_MAX_MB 50 Max memory for MCP query cache in MB
REDASH_MCP_CONFIG_DIR ~/.redash-mcp Directory for BIRD few-shot, feedback, eval, keyword-map data
REDASH_BIRD_ENABLED true Set to false to disable BIRD smart query tools
REDASH_HTTP_TIMEOUT_SECS 30 Per-request HTTP timeout against the Redash API
ANTHROPIC_API_KEY — If set, BIRD smart_query falls back to Claude Haiku for table selection when keyword scoring fails

Usage Examples

Just ask Claude in natural language:

  • "Show me the columns in the users table"
  • "Run a query to get order counts for the last 7 days"
  • "List all saved queries"
  • "Show widgets in the revenue dashboard"
  • "Create an alert when daily signups drop below 100"

Example 1: Query data with natural language

Prompt: "How many new users signed up this month?"

Tool flow:

  1. list_data_sources → Identify the target data source
  2. smart_query → Analyze the question, auto-select the User table, provide SQL generation guidance
  3. run_query → Execute the generated SQL

Result:

There were 18,197 new signups this month.

Example 2: Complex business questions

Prompt: "What percentage of last week's new users made a purchase?"

Tool flow:

  1. smart_query → Analyze the question, auto-select User and Payment tables, provide JOIN query guidance
  2. run_query → Execute the SQL

Result:

Out of 1,204 new users last week, 312 made a purchase (25.9%).

Example 3: Create a query and dashboard

Prompt: "Create a monthly revenue trend query and add it to a dashboard"

Tool flow:

  1. smart_query → Analyze revenue-related tables
  2. create_query → Save the "Monthly Revenue Trend" query
  3. create_dashboard → Create a "Revenue Dashboard"
  4. get_query → Get the visualization ID from the saved query
  5. add_widget → Add the chart widget to the dashboard

Result:

Created "Revenue Dashboard" with the monthly revenue trend chart.
View in Redash: https://your-redash.com/dashboard/monthly-revenue

Privacy Policy

Data Collection and Processing

redash-mcp is a local MCP server that communicates directly with your Redash instance. No intermediate servers are involved.

Item Description
Redash API Key Stored only as a local environment variable (REDASH_API_KEY). Never transmitted externally.
Query content & results Delivered only to the local MCP client (Claude Desktop/Code) via the MCP protocol.
BIRD SQL settings Stored only in local files (~/.redash-mcp/). Includes few-shot examples, keyword maps, and feedback.
LLM Fallback When ANTHROPIC_API_KEY is set, only table name lists are sent to the Anthropic API. Query data and results are never transmitted.

Third-Party Sharing

We do not sell or share user data with third parties. When the LLM Fallback feature is active, only table name lists are sent to the Anthropic API, and only when the user has explicitly configured an ANTHROPIC_API_KEY.

Data Retention

  • Config files: Stored locally in ~/.redash-mcp/ (user can delete at any time)
  • Query cache: In-memory only, cleared on server shutdown
  • Schema cache: In-memory only, auto-expires after 10-minute TTL

Contact

For inquiries and security reports: GitHub Issues

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured