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519,985 tools. Updated 2026-09-06 08:15

"Plotly" matching MCP tools:

  • Execute custom Python code using plotly express and pandas to generate complex Plotly charts from a data file, saving with a specified filename keyword.
    MIT
  • Modify an existing chart by updating its Plotly specification, title, insight, or narration.
    MIT
  • Publish a chart to Autario by providing a Plotly spec with column references; Autario pulls real data from datasets to ensure integrity, making the chart permanent, shareable, and editable.
    MIT
  • Retrieve a Plotly chart specification and underlying data by chart ID or slug. Includes insight text and datasets used, with a shareable URL.
    MIT

Matching MCP Servers

  • Fetch Japanese stock candlestick OHLCV and technical indicators as JSON arrays, ready for chart rendering in Plotly or Recharts.
    MIT
  • Generate Plotly figures from data and natural-language descriptions. Handles open-ended chart requests by writing and running Python code, returning the figure as JSON.
    MIT
  • Ask a natural-language question about official statistics and receive a computed result with chart, code, and citations. Join series across agencies like BLS, Statistics Canada, and ONS.
    MIT
  • Analyze transient light curves to measure rise time, fade time, and duration across photometric bands, including incomplete curves, and generate an interactive notebook with plots.
    BSD 3-Clause
  • Render Plotly charts to SVG, PNG, JPG, or PDF format with customizable styling and output as a URL, file path, or base64 data.
    MIT
  • Add shaded vertical zones to Plotly charts to highlight time periods like crises or policy changes. Enhances figure with colored bands and optional labels.
    MIT
  • Apply a visual theme (dark, light, or infographic) to a Plotly chart figure, and optionally add callout annotations or shaded highlight zones.
    MIT