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Documentation Index

Fetch the complete documentation index at: https://docs.oleander.dev/llms.txt

Use this file to discover all available pages before exploring further.

Overview

oleander unifies your data infrastructure into one queryable context graph — workflows, datasets, lineage, costs, logs, and traces. AI coding assistants get vastly better when they can query that graph from the editor. Wire up your assistant once and it can answer questions like:
  • “What dbt models read from events.raw, and what does each cost per run?”
  • “If I change this column’s type, which downstream jobs break?”
  • “Why did last night’s Airflow DAG fail?”

Pick your tool

Use the Tools section in the sidebar to wire oleander into the assistant of your choice. The same MCP server backs every integration, so context is consistent across tools.

What’s MCP?

The Model Context Protocol (MCP) is an open standard for connecting AI assistants to external data sources and tools. oleander exposes its context graph through a remote MCP server, so any MCP-compatible client can query it. See oleander MCP for protocol details and the full list of tools the server exposes.