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Vizro

Generated from .claude/mcps/.mcp-enterprise.json on 2026-09-11 — do not edit this page by hand; run task mcp:docs instead. 1 server(s) from Vizro, used across 5 product(s).

vizro-analytics​

Build and validate interactive analytics dashboards.

  • Tools: 6 — get_model_json_schema, get_sample_data_info, get_vizro_chart_or_dashboard_plan, load_and_analyze_data, validate_chart_code, validate_dashboard_config
  • Runs in: b2b-metering, cloudops-runbooks, command-center, finops-focus, os-ui
  • Enable: Written into each target's .mcp.json by task mcp:profile:regenerate (or, for a b2b-metering tenant, task tenant:launch TENANT=<id>).
  • Env vars: none
  • Auth: none
  • Verify: claude mcp list
  • Runbook: —

get_model_json_schema​

Get the JSON schema for the specified Vizro model.

Use the get_model_json_schema tool from the vizro-analytics MCP server for my current task: 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 get_sample_data_info tool from the vizro-analytics MCP server for my current task: If user provides no data, use this tool to get sample data information.

get_vizro_chart_or_dashboard_plan​

Get instructions for creating a Vizro chart or dashboard.

Build a one-page dashboard showing spend, trend and the top five cost drivers.

load_and_analyze_data​

Use to understand local or remote data files.

Use the load_and_analyze_data tool from the vizro-analytics MCP server for my current task: Use to understand local or remote data files.

validate_chart_code​

Validate the chart code created by the user and optionally open the PyCafe link in a browser.

Use the validate_chart_code tool from the vizro-analytics MCP server for my current task: Validate the chart code created by the user and optionally open the PyCafe link in a browser.

validate_dashboard_config​

Validate Vizro model configuration.

Build a one-page dashboard showing spend, trend and the top five cost drivers.