npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@arkty/redash-mcp

v0.1.1

Published

MCP Server for Redash — execute queries, explore schemas, get results as JSON or CSV

Readme

@arkty/redash-mcp

Made with AI License: MIT npm

MCP Server for Redash — execute SQL queries, explore database schemas, and get results as JSON or CSV.

  • Ad-hoc queries without creating objects in Redash (no trace left)
  • SQL write guard — destructive operations (INSERT/UPDATE/DELETE/DROP) are blocked
  • CSV export — saves results to file, returns summary to LLM
  • Schema exploration — list tables, search columns, inspect structure
  • Default data source — configure once, query without specifying every time

Installation

npx -y @arkty/redash-mcp

Configuration

Claude Code (.mcp.json)

{
  "mcpServers": {
    "redash": {
      "command": "npx",
      "args": ["-y", "@arkty/redash-mcp"],
      "env": {
        "REDASH_URL": "https://your-redash.example.com",
        "REDASH_API_KEY": "your-api-key",
        "REDASH_DEFAULT_DATA_SOURCE_ID": "1"
      }
    }
  }
}

Environment Variables

| Variable | Required | Default | Description | |----------|----------|---------|-------------| | REDASH_URL | Yes | — | Redash instance URL | | REDASH_API_KEY | Yes | — | User API key (from Redash profile settings) | | REDASH_DEFAULT_DATA_SOURCE_ID | No | — | Default data source ID | | REDASH_DEFAULT_TABLE | No | — | Default table name (shown in tool description) | | REDASH_TIMEOUT | No | 30000 | Request timeout in ms | | REDASH_MAX_ROWS | No | 500 | Max rows in JSON response | | REDASH_POLL_INTERVAL | No | 1000 | Job polling interval in ms | | REDASH_MAX_POLL_ATTEMPTS | No | 120 | Max poll attempts before timeout | | REDASH_OUTPUT_DIR | No | . | Directory for CSV file output | | REDASH_EXTRA_HEADERS | No | — | Extra HTTP headers (JSON or key=value;key2=value2) |

Tools

execute_adhoc_query

Execute SQL directly against a data source. No query object is created in Redash. Destructive SQL is blocked.

Parameters: query, data_source_id?, format? ("json" | "csv")

list_data_sources

List all available data sources with IDs, names, and types.

get_data_source_schema

Get full database schema (all tables and columns) for a data source.

Parameters: data_source_id

get_table_info

Get column names and types for a specific table.

Parameters: data_source_id, table_name

search_schema

Search tables and columns by name pattern (case-insensitive).

Parameters: data_source_id, search

Security

  • Destructive SQL (INSERT, UPDATE, DELETE, DROP, ALTER, TRUNCATE, CREATE, etc.) is blocked at the MCP server level. The filter is intentionally simple — it checks for keyword presence in the query text. This means it may produce false positives (e.g., SELECT REPLACE(...) is blocked because REPLACE is a keyword). This is a safety net, not a bulletproof solution.
  • Use read-only database credentials in your Redash data source configuration — this is the real protection layer
  • API key is passed via environment variable, never hardcoded

License

MIT