$ loading_
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 Apache Iceberg lakehouse metadata with natural language via MCP.
Query Snowflake gold-layer tables in natural language without writing SQL.
Use natural language to discover Snowflake tables, inspect metadata, and run SQL queries.
Connect AI to Snowflake for SQL, schema exploration, and data insights.
Securely query Snowflake warehouses with natural language and retrieve data insights.
Securely query governed Snowflake data and use Cortex AI tools with AI agents.