Databricks Genie MCP Server

A Model Context Protocol (MCP) server that connects to the Databricks Genie API, allowing LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.

✨ Features

• List Genie spaces available in your Databricks workspace (Currently Manual/Using Resource)
• Fetch metadata (title, description) of a specific Genie space
• Start new Genie conversations with natural language questions
• Ask follow-up questions in ongoing Genie conversations
• Retrieve SQL and result tables in structured format

🧱 Prerequisites

• Python 3.7+
• Databricks workspace with:
• Personal access token
• Genie API enabled
• Permissions to access Genie spaces and run queries

⚙️ Setup

1. Clone this repository
2. Create and activate a virtual environment (recommended):

   python -m venv .venv
   source .venv/bin/activate
   

   Install dependencies:

   pip install -r requirements.txt
   

   Create a .env file in the root directory with the following variables:

   DATABRICKS_HOST=your-databricks-instance.cloud.databricks.com # Don't add https
   DATABRICKS_TOKEN=your-personal-access-token
   

📌 Manually Adding Genie Space IDs Note: At this time, the Databricks Genie API does not provide a public endpoint to list all available space IDs and titles. (afaik) As a workaround, you need to manually add the Genie space IDs and their titles in the get_genie_space_id() function in main.py.

🧪 Test the Server

You can test the MCP server using the inspector (optional but recommended): npx @modelcontextprotocol/inspector python main.py OR You can directly build and run docker to test the server

💬 Use with Claude Desktop

Download Claude Desktop Install Your MCP Server: From your project directory, run: mcp install main.py Once Server Installed

1. Connect in Claude
2. Open Claude Desktop
3. Click Resources → Add Resource
4. Select your Genie MCP Server
5. Start chatting with your data using natural language!

🎯 ## 🧾 Obtaining Databricks Credentials Host Your Databricks instance URL (e.g., your-instance.cloud.databricks.com) — do not include https:// Token

1. Go to your Databricks workspace
2. Click your username (top right) → User Settings
3. Under the Developer tab, click Manage under "Access tokens"
4. Generate a new token and copy it

🚀 Running the Server

python main.py This will start the Genie MCP server over the stdio transport for LLM interaction.

🧰 Available MCP Tools

The following MCP tools are available: Tool Description

1. get_genie_space_id() List available Genie space IDs and titles
2. get_space_info(space_id: str) Retrieve title and description of a Genie space
3. ask_genie(space_id: str, question: str) Start a new Genie conversation and get results
4. follow_up(space_id: str, conversation_id: str, question: str) Continue an existing Genie conversation

🛠️ Troubleshooting Common Issues

• Invalid host: Ensure the host does not include https://
• Token error: Make sure your personal access token is valid and has access to Genie
• Timeout: Check if the Genie space is accessible and not idle/expired
• No data returned: Ensure your query is valid for the selected space

🔐 Security Considerations

• Keep your .env file secure and never commit it to version control
• Use minimal scope tokens with expiration whenever possible
• Avoid exposing this server in public-facing environments unless authenticated