MCP Server for Data

Select Star's MCP Server for Data is an intelligent metadata platform that automatically analyzes and documents your data, providing a unified API for metadata, lineage, and semantic models. It is designed for data teams—including data engineers, analysts, and governance leads—who need to bring structured data context into AI-driven workflows, such as chatbots, coding assistants, or analytics agents. The tool acts as a bridge between your data stack and AI clients, enabling them to query cataloged assets, understand relationships, and enforce access controls programmatically. Founded in 2020 and headquartered in San Francisco, CA, Select Star positions itself as a lightweight alternative to enterprise catalogs like Alation and Collibra, with a focus on automation and ease of use for modern cloud-native environments.

The MCP Server exposes Select Star's core capabilities—automated data cataloging, data lineage, business glossary, and semantic model generation—through a standardized interface that integrates with various AI clients and development environments. For example, it can automatically generate ER diagrams and documentation from your data warehouse, track column-level lineage across transformations, and produce semantic models that AI agents can consume. The platform supports data access control, allowing teams to restrict which tables or columns are visible to different users or AI tools. Pricing is usage-based: Pro starts at $300/month, scaled by number of data sources, users, and tables, with custom enterprise options available. The setup is described as smooth, with quick user support, but the ER diagram navigation is reported as unstable and lacks detailed transformation or join information.

In the data catalog market, Select Star competes directly with Secoda, Metaphor, Monte Carlo, Segment, Alation, DataGalaxy, Amundsen, and Collibra. It is often chosen by teams that want a modern, automated catalog without the heavy governance overhead of platforms like Collibra or Alation. However, reviewers note that it lacks some features compared to established competitors, particularly around advanced governance controls and enterprise-scale policy management. The platform's strength lies in its transparency—providing clear visibility into data transformations, origins, and relationships—which supports use cases like data migration, self-service analytics, and cost optimization. Customer support is described as very attentive and responsive, a differentiator against larger vendors.

Honest trade-offs: The learning curve is steep, especially for teams new to automated cataloging, and navigating ER diagrams can be unstable, with missing details on transformations or joins. While the platform excels at automated documentation and lineage, it may not satisfy organizations that require deep, manual governance workflows or compliance-heavy controls out of the box. The pricing model, while flexible, can become expensive as the number of tables or users grows, and the tool's integration depth with BI tools and on-prem systems may be narrower than that of competitors like Alation or Collibra. For teams prioritizing speed of setup and AI-readiness over comprehensive governance, Select Star's MCP Server is a solid choice, but it is not a one-size-fits-all replacement for enterprise catalog suites.

Pro pricing starts at $300/month, scaled by number of data sources, users, and tables. Custom enterprise pricing is available for larger deployments.