export_notebook
Export notebooks from Databricks workspace in various formats for sharing, backup, or migration purposes.
Instructions
Export a notebook from the workspace
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| format | No | JUPYTER |
Implementation Reference
- MCP tool handler for 'export_notebook', decorated with @mcp.tool(). Delegates to notebooks.export_notebook API, trims large content for readability, and returns JSON response.
@mcp.tool() async def export_notebook(path: str, format: str = "JUPYTER") -> str: """Export a notebook from the workspace""" logger.info(f"Exporting notebook: {path} in format: {format}") try: result = await notebooks.export_notebook(path, format) # For notebooks, we might want to trim the response for readability content = result.get("content", "") if len(content) > 1000: summary = f"{content[:1000]}... [content truncated, total length: {len(content)} characters]" result["content"] = summary return json.dumps(result) except Exception as e: logger.error(f"Error exporting notebook: {str(e)}") return json.dumps({"error": str(e)}) - src/api/notebooks.py:57-90 (helper)Helper function implementing the Databricks Workspace Export API call (/api/2.0/workspace/export). Handles base64 decoding for SOURCE/JUPYTER formats.
async def export_notebook( path: str, format: str = "SOURCE", ) -> Dict[str, Any]: """ Export a notebook from the workspace. Args: path: The path of the notebook to export format: The format to export (SOURCE, HTML, JUPYTER, DBC) Returns: Response containing the notebook content Raises: DatabricksAPIError: If the API request fails """ logger.info(f"Exporting notebook from path: {path}") params = { "path": path, "format": format, } response = make_api_request("GET", "/api/2.0/workspace/export", params=params) # Optionally decode base64 content if "content" in response and format in ["SOURCE", "JUPYTER"]: try: response["decoded_content"] = base64.b64decode(response["content"]).decode("utf-8") except Exception as e: logger.warning(f"Failed to decode notebook content: {str(e)}") return response