What is the runtime environment required?
The server runs on Python and uses Starlette and Uvicorn. It is designed to be deployed as a Databricks app.
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基本信息
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Genie MCP Server is an async server that integrates with Databricks Genie via the MCP StreamableHTTP Protocol. It enables users to send conversational queries to Genie and receive answers or data, using Databricks authentication with automatic OAuth token management.
Deploy the server as a Databricks app by cloning the repository, configuring the Genie space ID in app.yaml, and deploying via the Databricks Apps interface. Once running, send MCP requests to the app’s endpoint.
app.yaml configurationThe server runs on Python and uses Starlette and Uvicorn. It is designed to be deployed as a Databricks app.
Authentication is handled via automatic OAuth token management for Databricks, managed by the `token_minter.py` module.
The Genie space ID is set as the `SPACE_ID` environment variable in the `app.yaml` deployment configuration file.
The README only describes deployment as a Databricks app. No alternative deployment methods are documented.
The server exposes its tool via the MCP StreamableHTTP Protocol.

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