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    An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.
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    47
    10
    MIT
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    A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.
    Last updated
    GPL 3.0
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    Generate annotated post-trade candlestick review-chart PNGs from broker or exchange fills. Includes capability checks, no-charge preflight validation, and chart rendering; no signals or order execution.
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    3
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    MIT
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    Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.
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    6
    MIT
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    MCP server that lets Claude, Cursor, or any MCP-compatible client drive Sheepit projects — enabling campaign management, destination configuration, dashboard creation, and insights queries directly from a chat interface.
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    MIT
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    Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.
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    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.
    Last updated
    2
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    MIT
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    Enables AI agents to run Gretl/Hansl scripts, execute Gretl commands, manage packages, and interact with the Gretl GUI for econometric analysis and visualization.
    Last updated
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    MIT
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    AI-powered data visualization MCP server that generates publication-ready charts from natural language descriptions while keeping data local.
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    2
    AGPL 3.0
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    Give AI agents access to Formester form submissions. Read individual responses, search and filter across forms, write AI-generated insights back as custom fields, and process file attachments including PDFs and images.
    Last updated
    MIT