list_clusters
Retrieve a list of all Databricks clusters to monitor resources, manage configurations, and track cluster status.
Instructions
List all Databricks clusters
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- MCP tool handler for 'list_clusters': decorated with @mcp.tool(), logs the action, calls clusters.list_clusters() helper, returns JSON result or error.
@mcp.tool() async def list_clusters() -> str: """List all Databricks clusters""" logger.info("Listing clusters") try: result = await clusters.list_clusters() return json.dumps(result) except Exception as e: logger.error(f"Error listing clusters: {str(e)}") return json.dumps({"error": str(e)}) - src/api/clusters.py:48-60 (helper)Core helper function that performs the Databricks API GET request to /api/2.0/clusters/list to fetch clusters.
async def list_clusters() -> Dict[str, Any]: """ List all Databricks clusters. Returns: Response containing a list of clusters Raises: DatabricksAPIError: If the API request fails """ logger.info("Listing all clusters") return make_api_request("GET", "/api/2.0/clusters/list") - src/server/simple_databricks_mcp_server.py:29-29 (registration)The @mcp.tool() decorator registers the list_clusters function as an MCP tool.
@mcp.tool()