Vizro
provides tools and templates to create a functioning Vizro chart or dashboard step by step.
2.6K
1
6 Tools
Signed
Built by Docker
Add to Docker Desktop
Version 4.43 or later needs to be installed to add the server automatically
Tools
| Name | Description |
|---|---|
get_model_json_schema | Get the JSON schema for the specified Vizro model. |
get_sample_data_info | If user provides no data, use this tool to get sample data information. Use the following data for the below purposes: - iris: mostly numerical with one categorical column, good for scatter, histogram, boxplot, etc. - tips: contains mix of numerical and categorical columns, good for bar, pie, etc. - stocks: stock prices, good for line, scatter, generally things that change over time - gapminder: demographic data, good for line, scatter, generally things with maps or many categories |
get_vizro_chart_or_dashboard_plan | Get instructions for creating a Vizro chart or dashboard. Call FIRST when asked to create Vizro things. Must be ALWAYS called FIRST with advanced_mode=False, then call again with advanced_mode=True if the JSON config does not suffice anymore. |
load_and_analyze_data | Use to understand local or remote data files. Must be called with absolute paths or URLs. Supported formats: - CSV (.csv) - JSON (.json) - HTML (.html, .htm) - Excel (.xls, .xlsx) - OpenDocument Spreadsheet (.ods) - Parquet (.parquet) |
validate_chart_code | Validate the chart code created by the user and optionally open the PyCafe link in a browser. |
validate_dashboard_config | Validate Vizro model configuration. Run ALWAYS when you have a complete dashboard configuration. If successful, the tool will return the python code and, if it is a remote file, the py.cafe link to the chart. The PyCafe link will be automatically opened in your default browser if auto_open is True. |
Manual installation
You can install the MCP server using:
Installation for