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@Arkty/Redash

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Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.

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About

Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.

README

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

from github.com/arkty/redash-mcp

Install @Arkty/Redash in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install arkty-redash-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add arkty-redash-mcp -- npx -y @arkty/redash-mcp

FAQ

Is @Arkty/Redash MCP free?

Yes, @Arkty/Redash MCP is free — one-click install via Unyly at no cost.

Does @Arkty/Redash need an API key?

No, @Arkty/Redash runs without API keys or environment variables.

Is @Arkty/Redash hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install @Arkty/Redash in Claude Desktop, Claude Code or Cursor?

Open @Arkty/Redash on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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