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    A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
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    MIT
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    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
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    Provides five Chinese metaphysics engines (BaZi, QMDJ, ZWDS, Feng Shui, I Ching) as MCP tools for analysis and forecasting.
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    MIT
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    Apache 2.0
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    A Model Context Protocol server providing mathematical and scientific computing capabilities via NumPy, pandas, SciPy, and Matplotlib, with 19 tools for linear algebra, statistics, numerical methods, data processing, and plotting.
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    MIT
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    Establishes feedback-oriented development workflows with dual Web UI and Desktop interfaces, enabling AI to confirm with users before actions and consolidate multiple tool calls into a single feedback request.
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    A Model Context Protocol server that enables AI platforms to invoke RPA (Robotic Process Automation) capabilities from YingDao, allowing automated execution of repetitive tasks through AI interactions.
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    MIT
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    Enables AI assistants to query and analyze databases using natural language through MCP and HTTP API. Supports 17+ databases and integrates with 55+ platforms.
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    MIT
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    A minimal FastMCP server template for quick deployment to Render with streamable HTTP transport. Provides a foundation for building custom MCP servers with easy local development and one-click deployment capabilities.
    Last updated