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databasesanalytics-data

Redash

by suthio

Integrate Redash data visualization software for seamless natural language querying, dashboard creation, and data analys

Integrates with Redash data visualization platform to enable natural language querying, dashboard creation, and data source management for analyzing and visualizing data through conversational interfaces.

github stars

61

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct API integration with existing Redash instancesConfigurable timeouts and result limits

best for

  • / Data analysts querying Redash through conversational interfaces
  • / Teams automating dashboard management and reporting
  • / Developers integrating Redash data into AI workflows

capabilities

  • / Execute Redash queries and retrieve results
  • / Create and update queries via API
  • / List available dashboards and visualizations
  • / Manage data sources for query creation
  • / Archive and organize existing queries

what it does

Connects AI assistants to Redash instances for running queries, managing dashboards, and visualizing data through natural language commands.

about

Redash is a community-built MCP server published by suthio that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Redash data visualization software for seamless natural language querying, dashboard creation, and data analys It is categorized under databases, analytics data.

how to install

You can install Redash in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Redash is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Redash MCP Server

Model Context Protocol (MCP) server for integrating Redash with AI assistants like Claude.

<a href="https://glama.ai/mcp/servers/j9bl90s3tw"> <img width="380" height="200" src="https://glama.ai/mcp/servers/j9bl90s3tw/badge" alt="Redash Server MCP server" /> </a>

Features

  • Connect to Redash instances via the Redash API
  • List available queries and dashboards as resources
  • Execute queries and retrieve results
  • Create and manage queries (create, update, archive)
  • List data sources for query creation
  • Get dashboard details and visualizations

Prerequisites

  • Node.js (v18 or later)
  • npm or yarn
  • Access to a Redash instance
  • Redash API key

Environment Variables

The server requires the following environment variables:

Optional variables:

  • REDASH_TIMEOUT: Timeout for API requests in milliseconds (default: 30000)
  • REDASH_MAX_RESULTS: Maximum number of results to return (default: 1000)
  • REDASH_EXTRA_HEADERS: Extra HTTP headers to include with every Redash request. Accepts either a JSON object string or a semicolon/comma-separated list of key=value pairs.

Examples:

JSON (recommended):

REDASH_EXTRA_HEADERS='{"CF-Access-Client-Id":"<client_id>","CF-Access-Client-Secret":"<client_secret>"}'

Key/value list:

REDASH_EXTRA_HEADERS=CF-Access-Client-Id=<client_id>;CF-Access-Client-Secret=<client_secret>

Notes:

  • The Authorization header is managed by the server (Key <REDASH_API_KEY>) and cannot be overridden.
  • All extra headers are added to every request made to Redash.

Installation

  1. Clone this repository:

    git clone https://github.com/suthio/redash-mcp.git
    cd redash-mcp
    
  2. Install dependencies:

    npm install
    
  3. Create a .env file with your Redash configuration:

    REDASH_URL=https://your-redash-instance.com
    REDASH_API_KEY=your_api_key
    # Optional: Cloudflare Access (or other gateway) headers
    # REDASH_EXTRA_HEADERS='{"CF-Access-Client-Id":"<client_id>","CF-Access-Client-Secret":"<client_secret>"}'
    
  4. Build the project:

    npm run build
    
  5. Start the server:

    npm start
    

Usage with Claude for Desktop

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"
      }
    }
  }
}

Available Tools

Query Management

  • list-queries: List all available queries in Redash
  • get-query: Get details of a specific query
  • create-query: Create a new query in Redash
  • update-query: Update an existing query in Redash
  • archive-query: Archive (soft-delete) a query
  • list-data-sources: List all available data sources

Query Execution

  • execute-query: Execute a query and return results
  • execute-adhoc-query: Execute an ad-hoc query without saving it to Redash
  • get-query-results-csv: Get query results in CSV format (supports optional refresh for latest data)

Dashboard Management

  • list-dashboards: List all available dashboards
  • get-dashboard: Get dashboard details and visualizations
  • get-visualization: Get details of a specific visualization

Visualization Management

  • create-visualization: Create a new visualization for a query
  • update-visualization: Update an existing visualization
  • delete-visualization: Delete a visualization

Development

Run in development mode:

npm run dev

Testing

Unit Tests

npm test

E2E Tests

npm run e2e:test

E2E tests use these default values (can be overridden with environment variables):

Override example:

REDASH_URL=https://your-instance.com REDASH_API_KEY=your_key npm run e2e:test

Manual Testing

npm run inspector

Version History

  • v1.1.0: Added query management functionality (create, update, archive)
  • v1.0.0: Initial release

License

MIT

FAQ

What is the Redash MCP server?
Redash is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Redash?
This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Discussion

Product Hunt–style comments (not star reviews)
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MCP server reviews

Ratings

4.864 reviews
  • Kwame Thomas· Dec 24, 2024

    Redash reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mateo Mensah· Dec 24, 2024

    I recommend Redash for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Yuki Robinson· Dec 20, 2024

    Useful MCP listing: Redash is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Yuki Tandon· Dec 16, 2024

    Redash has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Zaid Bhatia· Nov 15, 2024

    Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Naina Iyer· Nov 15, 2024

    Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Mateo Rahman· Nov 11, 2024

    According to our notes, Redash benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ama Sharma· Oct 6, 2024

    Strong directory entry: Redash surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Naina Menon· Oct 6, 2024

    Redash is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Naina Gupta· Oct 2, 2024

    We wired Redash into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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