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    Enables natural-language interaction with Ladybug Tools for building performance simulation, 3D modeling, and data visualization, allowing agents to perform complex environmental analysis tasks without CAD software.
    3
    GPL 3.0
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    quality
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    MCP server for rendering 35+ diagram types — sequence, flowchart, ER, C4, gantt, mindmap, infra, and more — to SVG/PNG with browser preview. Local rendering with palette/theme support and shareable diagrammo.app URLs.
    11
    1,230
    3
    MIT
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    An MCP server for the Xe Currency Data API that brings live FX rates, historical analysis, and quant-flavored tools into AI tools, working out of the box with zero credentials via Frankfurter/ECB data.
    12
    12
    1
    MIT
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    An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.
    3
    89
    MIT
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    Enables AI agents to render branded charts as inline images and persistent hosted URLs, supporting explicit chart types and automatic chart suggestion from data.
    2
    63
    MIT
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    quality
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    Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.
    MIT
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    Enables LLMs to create and open diagrams in the draw.io editor, supporting inline chat previews via MCP Apps, direct editor opening with XML/CSV/Mermaid format support, and diagram export to PNG/SVG/PDF or browser URLs through multiple integration approaches.
    5,157
    Apache 2.0
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    Exposes tools and resources for human-supervised geological modelling from borehole data, including validation, 3D implicit model construction with GemPy, and uncertainty analysis, with a deterministic audit trail.
    MIT
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    Enables conversational patent data analysis through a set of tools for trend analysis, clustering, word cloud generation, and more. Allows natural language queries to explore patent datasets with structured results and visualizations.
    1
    AGPL 3.0
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    MCP server for controlling jamovi from MCP clients. It starts a local jamovi engine process and exposes tools for opening datasets, reading/writing data, running analyses, exporting results, and saving .omv files.
    1
    MIT