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Select Star MCP - Modern Data Catalog for AI Agents

Select Star MCP is a unified interface for LLM agents and internal tools to access enterprise data context, lineage, and semantics. Built on top of the Select Star modern data catalog and governance platform, MCP Server exposes high-context metadata APIs that enable your models to understand, navigate, and reason about your data like your best data analysts do.

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About

Select Star MCP is a unified interface for LLM agents and internal tools to access enterprise data context, lineage, and semantics.

Built on top of the Select Star modern data catalog and governance platform, MCP Server exposes high-context metadata APIs that enable your models to understand, navigate, and reason about your data like your best data analysts do.

MCP Server gives your tools and agents access to:

Search across your entire data catalog: datasets, dashboards, fields, and metrics

Retrieve rich metadata: descriptions, tags, owners, popularity, and schema

Explore detailed lineage graphs and dependency relationships

Access a shared semantic layer and business glossary for standardized metrics and terminology

Provide contextual metadata injection into AI prompts, copilots, and orchestration workflows

With Select Star MCP, you can create smarter, more explainable AI connected to the same trusted data context your teams use.

Highlights:

Build LLM-based tools, RAG pipelines, or copilots powered by contextual data knowledge

Automate metadata enrichment and context retrieval for AI agents, chatbots, and workflow tools

Integrate instantly with Snowflake, BigQuery, Redshift, Databricks, Looker, Tableau, dbt, Salesforce, and more

Used by forward-thinking data teams at Intercom, Bose, Opendoor, PandaDoc, and Fivetran

Popular Use Cases:

AI agent context injection (e.g., for data Q&A, observability, or access governance)

Data-aware copilots for data engineers, analysts, and business users

RAG augmentation using semantic metadata and lineage paths

Metadata-driven routing and planning for intelligent orchestration systems

Creating an internal data assistant backed by governed enterprise context

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