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.
@vivian-xie-db
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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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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