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Query Snowflake-managed Iceberg tables in natural language without a Snowflake warehouse.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "horizon-mcp" yet — see the docs or source repo.
Use horizon-mcp to query Snowflake-managed Iceberg tables and summarize sales by region for the last 30 days, then return the top 10 regions.
A region-level sales summary, possibly with a table and brief insights.
Use horizon-mcp to inspect the customer_events Iceberg tables, list columns, types, and available partitions, and explain which fields are good filters.
A schema overview, partition details, and recommended filter fields.
Use horizon-mcp to query the orders table for the past 7 days and identify possible reasons for a sharp drop in order volume on a given day, broken down by channel and region.
The output highlights anomaly dates, grouped comparisons, and a summary of likely causes.
Query and manage Snowflake databases with natural language and SQL.
Query Apache Iceberg lakehouse metadata, history, and time-travel SQL in natural language.
Query Apache Iceberg lakehouse metadata with natural language via MCP.
Query Snowflake gold-layer tables in natural language without writing SQL.
Connect AI to Snowflake for SQL, schema exploration, and data insights.
Query Snowflake databases read-only through Claude using common SQL retrieval operations.