Sold by: Select Star
Deployed on AWS
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.
Overview
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
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
Details
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Deployed on AWS
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Features and programs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Growth | MCP server is included in Growth subscription | $0.00 |
Enterprise | MCP server is included in Enterprise subscription | $0.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Supported services:
- Amazon Bedrock AgentCore - Preview
API-Based Agents & Tools
API-Based Agents and Tools integrate through standard web protocols. Your applications can make API calls to access agent capabilities and receive responses.
Additional details
Usage instructions
To get started using the Select Star MCP server, follow the instructions below:
Available Tools This MCP server support the following tools:
- search_metadata: Search across all data catalog metadata with advanced filtering capabilities.
- get_asset_details: Retrieve comprehensive information about a specific data asset.
- get_table_info: Retrieve detailed table schema and usage information.
- traverse_lineage: Explore data lineage relationships and dependencies.
Prerequisites
- Select Star API Token
- MCP Client (Claude Desktop, Cursor IDE, etc.)
Authentication
Replace <your_actual_api_token_here> with your Select Star API token
Claude Desktop
Edit the configuration file at:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the below code:
{ "mcpServers": { "select-star": { "command": "npx", "args": [ "-y", "mcp-remote@latest", "https://mcp.production.selectstar.com/mcp", "--header", "Authorization:${SELECT_STAR_TOKEN}" ], "env": { "SELECT_STAR_TOKEN": "Bearer <your_actual_api_token_here>" } } } }Above is an example for Claude Desktop. The Select Star MCP Server works with any MCP Client.
Learn More
MCP Docs: https://docs.selectstar.com/features/ai-features-and-settings/mcp-server
Resources
Vendor resources
Support
Vendor support
Email / Chat for all customers. Dedicated Slack channel and Customer Success Manager for select tiers support@selectstar.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Select Star
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.
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