What you can do with Atlan MCP

Atlan MCP turns your catalog into a callable resource for any AI client or automation framework. Use it three ways: type natural-language prompts in Claude, Cursor, ChatGPT, Gemini, or any MCP-aware client; trigger automation patterns from Python, n8n, or LangChain on a schedule or pipeline; or run end-to-end workflows that chain multiple MCP tools to enrich metadata, govern quality, engineer pipelines, manage lifecycle, and drive catalog adoption.

Each card below opens a ready-to-use prompt, code pattern, or workflow recipe. Pick the one that matches your task—the AI client (or your script) calls the right MCP tools automatically.

Chat with your catalog

Browse chat prompts

Ready-to-paste prompts for data discovery, asset management, glossary, tag management, data quality, custom metadata, announcements, and asset lifecycle.

Automate metadata operations

Browse automation patterns

Governance sweeps, lineage impact analyses, glossary bootstrap, stale asset reports, and data quality sweeps — with ready-to-use code.

Enrich your metadata

Enrich Assets with Your Context

Add descriptions, owners, and tags to assets that were crawled but never enriched.

Give Your Dashboards Context

Link BI dashboards to business terms and owners so they surface in search and can be governed.

Propagate Context Through Lineage

Push descriptions and tags from a source table to every downstream asset in one pass.

Grow Your Business Glossary

Bootstrap glossary terms from how assets across your catalog already reference business concepts.

Govern catalog quality

Keep Asset Metadata Fresh

Detect stale certifications, missing owners, and outdated descriptions before they cause confusion.

Context-Rich Data Quality Alerts

Enrich quality failures with lineage, ownership, and downstream impact for faster triage.

Asset Change Alerts

Find every downstream consumer of a changing asset and notify their owners before breakage.

Sync Metadata Across Environments

Keep descriptions, tags, and custom metadata aligned between dev, staging, and production.

Propagate PII Tags to Parent Assets

Roll column-level PII classification up to parent tables and schemas so policies fire at every level.

Score Assets for AI Readiness

Rate assets on documentation, ownership, and quality before they enter AI pipelines.

Build with lineage context

SQL Impact Analysis at Code Review

Find every downstream consumer of a changed column or table before merging the PR.

Document SQL with Business Context

Generate business-readable descriptions for SQL models from the catalog context already in Atlan.

Dashboard Root Cause Analysis

Trace lineage upstream from a broken dashboard to find the source of wrong numbers.

Build Lineage for Custom Pipelines

Register source-to-target lineage for Spark jobs and scripts Atlan cannot auto-detect.

Onboard Files from Object Storage

Register S3 or GCS files as catalog assets with owners and tags before they are consumed.

Build Lineage Where It Doesn't Exist

Fill lineage gaps left by legacy scripts, one-off exports, and manual transforms.

Build Pipeline Scaffolding

Create catalog entries, lineage, and docs for a new pipeline from a single description.

Manage asset lifecycle

Safely Deprecate Unused Assets

Verify no active consumers exist, notify owners, and mark assets as deprecated.

Triage Assets for Migration

Classify every asset by consumer count, ownership, and certification before migration begins.

Drive catalog adoption

Talk to Your Data

Let analysts find the right certified asset using plain language — no SQL or catalog training needed.

Gamify Your Context

Generate per-domain enrichment scorecards to motivate metadata contributions across teams.

Route Data Requests to Right Assets

Surface certified, well-documented assets in response to business data requests.