Atlan AI
Overview: Atlan AI turns your Enterprise Data Graph into active context for AI agents. Context Agents continuously enrich your data estate — generating descriptions, linking terms, bootstrapping your business glossary, assessing completeness, and suggesting data quality rules — all from evidence already in your data. The Remote MCP server then makes that enriched context callable by any AI tool your organization runs: Claude, ChatGPT, Cursor, Gemini, Codex, Snowflake Cortex, n8n, and more. Stewards shift from documentation to certification. Context quality compounds.
Get started
- Remote MCP Overview: Learn about Atlan's hosted Remote MCP server for AI agents
Guides
- How to use Atlan AI for documentation: Generate and manage AI-powered descriptions for your data assets.
- How to use Atlan AI for lineage analysis: Understand lineage transformations using natural language explanations.
- How to use Atlan AI for glossary management: Use Atlan AI as a glossary intelligence layer—surface AI-generated overviews on glossaries, categories, and terms; get completeness diagnostics; and fix gaps with contextual AI assistance.
- How to use AI-suggested data quality rules: Let Atlan AI automatically suggest data quality rules based on your asset's metadata.
Concepts
- What is Atlan AI: Learn about Atlan AI's capabilities and features.
- Atlan AI security: Understand how Atlan AI handles data security and privacy.