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    Computes biorhythm values (physical, emotional, intellectual) and generates a PNG chart showing sine curves based on birth date and optional target date.
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    MIT
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    Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.
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    Enables AI assistants to control Origin/OriginPro on Windows, including data import, worksheet editing, graphing, analysis, and figure export.
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    MIT
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    Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.
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    Apache 2.0
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    An MCP server that lets an AI assistant drive Epistemic Network Analysis models hosted on the webENA cloud service, enabling project listing, model running, and result visualization.
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    MIT
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    Opens, inspects, and renders DXF/CAD drawings for AI agents: describe_dxf returns structured facts (layers with actual drawn colors, units, bounds, text content) and render_dxf returns PNG images. On MCP Apps hosts like ChatGPT and Claude, view_dxf opens an interactive in-chat viewer with pan, zoom, and layer toggles.
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    2
    MIT
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    Interactive UI for Monarch Money inside claude.ai, running on Monarch's official OAuth. Provides interactive widgets for transactions, spending, and accounts with inline editing and broad data-tool coverage.
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    MIT
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    Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.
    Last updated
    48,490
  • A
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    Enables interaction with FHIR R4 healthcare data through SHARP-on-MCP tools, including search, read, and clinical context aggregation, with built-in Chart.js dashboards for visualizing lab trends, vitals, and patient data.
    Last updated
    7
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    MIT
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    A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.
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    MIT
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    Enables AI assistants to create interactive charts, diagrams, and tables displayed on a real-time dashboard, supporting multiple data sources with privacy-focused local execution.
    Last updated
    1
    MIT