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Genie MCP Server

@vivian-xie-db

Repository

Basic information

Category

Other

Transports

stdio

Author

vivian-xie-db

About Genie MCP Server

No overview available yet

#genie#mcp#databricks

Genie MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Genie MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Genie MCP Server?

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.

How to use Genie MCP Server?

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.

Key features of Genie MCP Server

  • Async API server built with Starlette and Uvicorn
  • Integration with Databricks Genie for conversational queries
  • Automatic OAuth token management for Databricks
  • Deployable as a Databricks app using app.yaml configuration
  • Exposes Genie functionality via MCP StreamableHTTP Protocol

Use cases of Genie MCP Server

  • Query Databricks Genie for answers to natural language questions
  • Retrieve structured data from Genie spaces within Databricks
  • Integrate Genie-powered conversational access into MCP-compatible clients
  • Deploy a serverless Genie interface inside a Databricks workspace

Frequently asked questions

1

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.

2

How does authentication work?

Authentication is handled via automatic OAuth token management for Databricks, managed by the `token_minter.py` module.

3

Where is the Genie space ID configured?

The Genie space ID is set as the `SPACE_ID` environment variable in the `app.yaml` deployment configuration file.

4

Can I deploy this outside of Databricks?

The README only describes deployment as a Databricks app. No alternative deployment methods are documented.

5

What transport protocol does the server use?

The server exposes its tool via the MCP StreamableHTTP Protocol.

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