Select Star, a leading provider of metadata management and data governance, announced on July 16, 2025, in San Francisco, the availability of its Select Star MCP – Modern Data Catalog for AI Agents in the new AI Agents and Tools category of AWS Marketplace. This solution enables AWS customers to discover, purchase, and deploy the MCP Server using their AWS accounts, accelerating AI agent and agentic workflow development.
Select Star MCP launched in AWS Marketplace’s AI Agents and Tools category.
Provides metadata, lineage, and ownership data for accurate AI-driven analytics.
Supports industries like technology, finance, and logistics with automated data tasks.
Integrates with Snowflake, AWS Redshift, Google BigQuery, and more.
Streamlines procurement with AWS account purchasing.
Reduces data discovery time by up to 80% for enterprise teams.
Select Star MCP enables organizations to leverage the same trusted data context used by analysts, surfacing descriptions, lineage, popularity, and ownership metadata. This allows AI agents and large language models (LLMs) to retrieve relevant datasets, explain outputs, and route tasks intelligently, improving the accuracy of AI-driven analytics and decision-making.
“By offering Select Star MCP – Modern Data Catalog for AI Agents in AWS Marketplace, we’re providing customers with a streamlined way to access our MCP Server, helping them buy and deploy AI agent solutions faster and more efficiently,” said Shinji Kim, Founder and CEO at Select Star.
Comprehensive Data Catalog Search: Enables searching across the entire data catalog for quick dataset discovery.
Rich Metadata Access: Surfaces detailed metadata, including descriptions and ownership, for contextual understanding.
Detailed Lineage Graphs: Traces end-to-end data lineage and dependency relationships, ensuring transparency.
Unified Interface for LLMs: Provides a single interface for LLM agents and internal tools to access enterprise data semantics.
Integration with Data Stacks: Supports platforms like Snowflake, AWS Redshift, Google BigQuery, Tableau, and dbt for seamless connectivity.
These features reduce data discovery time by up to 80% and enhance governance by automating documentation and change management, as noted by customers like Intercom and Fivetran.
The AWS Marketplace AI Agents and Tools category simplifies procurement, allowing customers to bypass lengthy vendor evaluations and negotiations. Centralized purchasing through AWS accounts ensures visibility and control over licensing, payments, and access. For more details, visit https://aws.amazon.com/marketplace/pp/prodview-....
Serving industries such as technology, finance, and logistics, Select Star’s MCP supports over 100 enterprises, including Bose and Opendoor, by automating data engineering and analytics tasks. Its integration with tools like Amazon QuickSight enhances data exploration, while its AI-driven documentation answers internal data queries, acting as a true co-pilot for data teams.
Select Star’s launch aligns with the growing demand for AI-ready data governance, competing with platforms like Alation and Collibra. Its focus on automation and LLM integration gives it an edge in simplifying complex data workflows. The AWS Marketplace’s AI category, hosting over 800 solutions, underscores the rapid adoption of agentic AI, with Gartner predicting a 33% enterprise adoption rate by 2028.
Select Star MCP positions itself as a foundational layer for AI-driven data initiatives, empowering organizations to manage data at scale with trust and efficiency.
Select Star is a modern data governance platform that helps organizations manage and understand their data at scale, enabling AI, analytics, and self-service across the business. It automatically catalogs datasets, traces end-to-end lineage, and builds a shared business glossary and semantic layer, so teams can confidently work with trusted data. With a user-friendly data portal and built-in automation, Select Star supports use cases including data democratization, data governance, semantic layers, and cloud data migrations, serving as a foundational layer for enterprise AI and data initiatives.
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