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203,086 tools. Last updated 2026-06-14 17:07

"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP tools:

  • Start an interactive process session, such as a Python REPL or PowerShell, by specifying a command and optional arguments. Returns a session ID for subsequent input/output operations via fc_read_output and fc_send_input.
    MIT
  • Retrieve a heatmap overview of all tracked tickers with current signal scores for building visual dashboards or scanning the entire set at once.
    MIT
  • Identifies the web component framework used in a project by analyzing package.json, CEM metadata, and config files. Returns the framework name, version, CEM generator, and regeneration notes.
    MIT
  • Execute Python code to generate interactive visualizations, plots, and dashboards, then view them in a browser via a unique URL.
    BSD 3-Clause
  • Initialize a project with Lupa testing framework scaffolding, using non-interactive execution to avoid prompts.
    Apache 2.0

Matching MCP Servers

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    Renders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.
    Last updated
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    Functional Source , Version 1.1, MIT Future

Matching MCP Connectors

  • Visualize stormwater model networks on interactive maps to analyze hydraulic systems and interpret simulation results.
    MIT
  • Start an interactive web schematic viewer for circuit designs and return its URL for access.
    GPL 3.0
  • Create interactive UI components like dashboards, forms, and reports as part of your workflow. Provide instructions, select a model and theme, and receive a validated render-spec for display.
    MIT
  • Generate an OpenAPI specification from framework source code, bypassing the need for a spec file.
    MIT
  • List available pyobfus obfuscation presets organized by tier: community, framework-aware, and Pro. Quickly browse all presets to select the right one for your Python code.
    Apache 2.0
  • Fills text inputs or textareas with a specified value, clearing existing content and dispatching input/change events for framework compatibility.
    MIT
  • Update a previously published chart by modifying its Plotly specification, title, insight, or narration. Only the original creator can make changes.
    MIT
  • Publish a chart visualization to Autario using Plotly specs with column references. Autario pulls real data from datasets for accuracy, making charts permanent and shareable.
    MIT
  • Measure screen-reader navigation cost on a web page. Returns scored findings showing how hard it is for assistive-technology users to discover, reach, and operate interactive targets.
    Apache 2.0