Data · MODEL CONTEXT PROTOCOL

mcp-databricks-server

MCP Server for Databricks

WHAT IT CONNECTS

mcp-databricks-server 为 AI Agent 提供什么

  • Run SQL queries on Databricks SQL warehouses
  • List all Databricks jobs
  • Get status of specific Databricks jobs
  • Get detailed information about Databricks jobs
  • Python 3.7+
  • Databricks workspace with:
  • Personal access token
  • SQL warehouse endpoint
  • Permissions to run queries and access jobs
  • Clone this repository
  • Create and activate a virtual environment (recommended):
  • Install dependencies:
  • Create a `.env` file in the root directory with the following variables:
  • Test your connection (optional but recommended):
  • **Host**: Your Databricks instance URL (e.g., `your-instance.cloud.databricks.com`)
  • **Token**: Create a personal access token in Databricks:
  • Go to User Settings (click your username in the top right)
  • Select "Developer" tab
  • Click "Manage" under "Access tokens"
  • Generate a new token, and save it immediately
  • **HTTP Path**: For your SQL warehouse:
  • Go to SQL Warehouses in Databricks
  • Select your warehouse
  • Find the connection details and copy the HTTP Path
  • **run_sql_query(sql: str)** - Execute SQL queries on your Databricks SQL warehouse
  • **list_jobs()** - List all Databricks jobs in your workspace
  • **get_job_status(job_id: int)** - Get the status of a specific Databricks job by ID
  • **get_job_details(job_id: int)** - Get detailed information about a specific Databricks job
  • "Show me all tables in the database"
  • "Run a query to count records in the customer table"
  • "List all my Databricks jobs"
  • "Check the status of job #123"
  • "Show me details about job #456"
  • Ensure your Databricks host is correct and doesn't include `https://` prefix
  • Check that your SQL warehouse is running and accessible
  • Verify your personal access token has the necessary permissions
  • Run the included test script: `python test_connection.py`
  • Your Databricks personal access token provides direct access to your workspace
  • Secure your `.env` file and never commit it to version control
  • Consider using Databricks token with appropriate permission scopes only
  • Run this server in a secure environment

SECURITY

MCP 收录不等于安全审核

MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。