What are the prerequisites for using Databricks MCP Server?
Python 3.10 or higher and the `uv` package manager are required. A Databricks workspace with a personal access token is also needed.
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Basic information
A Model Completion Protocol (MCP) server for interacting with Databricks services
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"databricks-mcp-server-justtryai": {
"command": "uv",
"args": [
"venv"
]
}
}
}List all Databricks clusters
Create a new Databricks cluster
Terminate a Databricks cluster
Get information about a specific Databricks cluster
Start a terminated Databricks cluster
List all Databricks jobs
Run a Databricks job
List notebooks in a workspace directory
Export a notebook from the workspace
List files and directories in a DBFS path
Execute a SQL statement
The Databricks MCP Server is a Model Context Protocol (MCP) server that provides access to Databricks functionality via the MCP protocol. It allows LLM-powered tools to interact with Databricks clusters, jobs, notebooks, and more.
Install the server using the uv package manager (Python 3.10+ required), set the DATABRICKS_HOST and DATABRICKS_TOKEN environment variables for authentication, then run the provided start script (start_mcp_server.sh on Linux/Mac or start_mcp_server.ps1 on Windows). The server exposes Databricks operations as MCP tools.
Python 3.10 or higher and the `uv` package manager are required. A Databricks workspace with a personal access token is also needed.
Set the environment variables `DATABRICKS_HOST` (your Databricks instance URL) and `DATABRICKS_TOKEN` (your personal access token). Alternatively, use a `.env` file.
The server exposes tools for clusters (list, create, terminate, get, start), jobs (list, run), notebooks (list, export), files (list in DBFS), and SQL (execute a statement).
Yes, the server includes an `execute_sql` tool that can execute a SQL statement.
Run the wrapper script `start_mcp_server.sh` (Linux/Mac) or `start_mcp_server.ps1` (Windows). The scripts are in the repository root and will start the MCP server ready for connections.
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