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Manage SageMaker Catalog resources through natural-language Amazon DataZone API operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Amazon SageMaker Catalog MCP Server" yet — see the docs or source repo.
List all data assets in SageMaker Catalog for a specified project, sorted by last updated time, and return name, type, and status.
A filtered list of catalog assets with key fields such as name, type, status, and last updated time.
Create a new data source asset in SageMaker Catalog with a name, business description, and domain; if an asset with the same name exists, update its description.
The asset is created or updated, with the resource identifier, execution result, and change summary returned.
Find catalog entries that have not been updated in the last 30 days and are in draft status, then output the list and mark them for review or archive candidacy.
A review list of catalog objects is produced, including recommended status actions or follow-up management steps for each record.
Query S3 data lakes in natural language for discovery, analysis, and metadata exploration.
Access Amazon SP-API via MCP for orders, inventory, and reports.
Create and manage AWS infrastructure resources through an MCP server.
Manage Amazon catalog, inventory, orders, and reports through one MCP server.
Let AI manage AWS resources through controlled AWS CLI operations.
Secure file and directory operations for autonomous AI development workflows.