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@arkty/redash-mcp
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-mcpConfiguration
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 becauseREPLACEis 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