databricks-mcp

databricks-mcp

27
cloud_platformsdeveloper_toolsdatabasesai_chatbotos_automation

Markov Databricks MCP is a Model Completion Protocol (MCP) server that allows interactions with Databricks services through the MCP protocol, enabling integration with LLM-powered tools. It features comprehensive tools for managing Databricks clusters, jobs, and notebooks, with support for async operations.

/absolute/path/to/your/project/databricks-mcp-server/start_mcp_server.sh
{
  "mcpServers": {
    "databricks-mcp-local": {
      "command": "/absolute/path/to/your/project/databricks-mcp-server/start_mcp_server.sh",
      "args": [],
      "env": {
        "DATABRICKS_HOST": "https://your-databricks-instance.azuredatabricks.net",
        "DATABRICKS_TOKEN": "dapiXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
        "RUNNING_VIA_CURSOR_MCP": "true"
      }
    }
  }
}