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  1. Data Warehouse

Model Context Protocol

Integrate Data Natively Into Chat

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Last updated 10 days ago

Overview

Birkini supports Anthropic’s (MCP), enabling seamless integration of structured data directly into chat-based interfaces.

This allows teams to enrich their existing chat experiences with verified datasets from the marketplace as well as proprietary organizational data.

Step 1: Create your account Go to the Birkini platform and sign up using email or SSO.

Step 2: Choose your storage provider Select your preferred provider and region, then provision your data warehouse.

Step 3: Subscribe to a dataset (optional) In the sidebar, open the Marketplace and subscribe to any available dataset.

Step 4: Install MCP for Claude Desktop Follow the latest instructions in the official repository to install MCP.

Step 5: Restart and start asking questions Launch Claude Desktop with MCP enabled and begin querying data contextually.

Setup in Cursor

Step 1: Complete the steps above, and make sure Python 3.11 or higher and uv are installed. On macOS, use brew install uv.

Step 2: Open Cursor Settings.

Step 3: Select Add a new MCP server. Give it the name Birkini and keep the type set to command.

Step 4: In the command field, paste the following line:

env db_session_key=YOUR_DB_SESSION_KEY uvx birkini-mcp

Step 5: You can now interact with Birkini through Cursor chat using your configured MCP server.

More information on this feature is available in the .

release notes
Model Context Protocol