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.
Databricks MCP Server
@JustTryAI
基本信息
关于 Databricks MCP Server
A Model Completion Protocol (MCP) server for interacting with Databricks services
Databricks MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"databricks-mcp-server-justtryai": {
"command": "uv",
"args": [
"venv"
]
}
}
}Databricks MCP Server 工具
11List 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
概览
What is Databricks MCP Server?
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.
How to use Databricks MCP Server?
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.
Key features of Databricks MCP Server
- MCP protocol support for LLM interaction with Databricks.
- Databricks REST API integration for core operations.
- Tool registration exposing Databricks functionality as MCP tools.
- Async support built with asyncio for efficient operation.
Use cases of Databricks MCP Server
- List and manage Databricks clusters (create, terminate, start, get info).
- Run and list Databricks jobs.
- Browse and export notebooks from the workspace.
- List files and directories in a DBFS path.
- Execute SQL statements on Databricks.
常见问题
How do I authenticate with Databricks?
Set the environment variables `DATABRICKS_HOST` (your Databricks instance URL) and `DATABRICKS_TOKEN` (your personal access token). Alternatively, use a `.env` file.
What tools does the server expose?
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).
Does it support running SQL queries?
Yes, the server includes an `execute_sql` tool that can execute a SQL statement.
How do I start the server after installation?
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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