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Read, query, and manage data and metadata in Apache Iceberg catalogs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "iceberg-mcp-server" yet — see the docs or source repo.
Connect to the specified Apache Iceberg catalog and query the sales.orders table for the last 30 days, returning order count and total revenue grouped by date.
A daily summary of order counts and revenue for quick business trend analysis.
Read the schema, partition fields, snapshot information, and latest commit time for the analytics.events table, and format them into a clear list.
An overview of schema, partition design, and snapshot metadata to help inspection and troubleshooting.
Run a maintenance check on the warehouse.customer_profiles table, list possible optimization or cleanup actions such as expiring snapshots or metadata cleanup, and explain their impact.
Recommended or executed maintenance actions that improve storage efficiency and query performance.
Connect to Apache Iceberg to query and manage lakehouse tables and metadata.
Query Apache Iceberg lakehouse metadata with natural language via MCP.
Query Apache Iceberg lakehouse metadata, history, and time-travel SQL in natural language.
Connect to StarRocks via MCP for querying, analysis, and database integration.
Interact with the dbt ecosystem for modeling, semantic queries, and metadata discovery.
Securely connect to and operate MySQL databases through the MCP protocol.