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Discover tools, search documents, and run Lakehouse time-travel queries efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@lakehouse/mcp-server" yet — see the docs or source repo.
In Lakehouse42, run a hybrid search for "document chunking and vector retrieval" and list the most relevant tools, their purposes, and invocation endpoints.
A list of relevant tools with names, brief purposes, and how to invoke them.
Show me the document directory for the "Customer Knowledge Base" project in Lakehouse42, sort by last updated time, and highlight the three most recently added documents.
A document list with update times and summary details of the newest documents.
Run a time-travel query on the Iceberg table sales.orders, compare order count and revenue changes between this week and last week, and provide a brief conclusion.
A comparison table plus a brief analysis of the key changes.
Query Apache Iceberg lakehouse metadata, history, and time-travel SQL in natural language.
Query Apache Iceberg lakehouse metadata with natural language via MCP.
Connect to Apache Iceberg to query and manage lakehouse tables and metadata.
Read, query, and manage data and metadata in Apache Iceberg catalogs.
Query Fabric Lakehouse data and manage Eventstreams with natural language.
Connect LLMs to Google BigQuery for querying and data analysis tasks.