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Securely inspect schemas and run read-only queries on Amazon Redshift.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "redshift-mcp-server" yet — see the docs or source repo.
After connecting to Redshift, list all schemas, tables, and key columns, then group them by business domain and summarize each table's purpose.
A structured inventory of schemas and tables with purpose notes and column overviews.
Query Redshift for total orders and revenue by region over the last 30 days, sort by region performance descending, and explain the main trends.
A query result table plus a brief analysis of regional performance differences.
Inspect the customer_events table's columns, data types, and sample values, infer what business events it stores, and identify key fields for user behavior analysis.
An explanation of the table, column interpretations, and recommended dimensions and metrics for behavior analysis.
Query, inspect, and analyze Amazon Redshift databases with SQL tools.
Connect AI to Redash for read-only queries, dashboards, and alerts.
Manage Redash queries, dashboards, visualizations, and data sources with natural language.
Securely query Snowflake warehouses with natural language and retrieve data insights.
Connect AI to Snowflake for SQL, schema exploration, and data insights.
Safely query and update Big Red Cloud accounting data with AI.