Schema | @lakehouse/mcp-server

@lakehouse/mcp-server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LAKEHOUSE42_API_KEY`	Yes	API key for Lakehouse42
`LAKEHOUSE42_BASE_URL`	No	Base URL for the Lakehouse42 API	https://api.lakehouse42.com

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}
`resources`	{}

Functions exposed to the LLM to take actions

Name	Description
search_toolsA	Find available tools by name, tag, or description. Returns tool info at specified detail level.
searchB	Hybrid search (dense+sparse+BM25). Returns ranked chunks with cursor pagination.
ask_questionC	RAG-based Q&A. Returns AI answer with source count.
get_documentB	Get document by ID. Optionally include full content.
list_documentsC	List documents with filters. Cursor pagination.
list_collectionsB	List all collections. Cursor pagination.
upload_documentB	Upload text document. Auto-chunked and indexed.
time_travel_queryC	Query historical Iceberg data at snapshot/timestamp.
time_travel_diffB	Compare two snapshots. Returns added/deleted/changed counts.
list_snapshotsB	List Iceberg table snapshots for time-travel.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lakehouse-42/mcp-server'

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