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    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
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    MIT
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    Enables AI assistants like Claude to manage personal expenses locally using SQLite. Supports adding, categorizing, summarizing expenses, setting budgets, and exporting data without cloud services.
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    Apache 2.0
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    Enables tracking, categorizing, and summarizing personal and business expenses with support for date range queries and category grouping.
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    MIT
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    Enables drawing commands to be rendered into raster images, supporting shapes like lines, rectangles, circles, ellipses, and triangles, with results returned as inline PNGs or saved to files.
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    Apache 2.0
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    Local MCP server for generating image assets with Google Gemini (Nano Banana 2 / Pro). Supports transparent PNG/WebP output, exact resizing/cropping, up to 14 reference images, and Google Search grounding.
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    MIT
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    Deploys full-stack projects to EdgeOne Makers and returns publicly accessible URLs, with support for authentication and automatic project naming.
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    MIT
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    An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.
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    MIT
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    Free, open-source MCP server and CLI for the BaseLinker API, exposing two tools to call any API method and list methods with minimal context cost.
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    MIT
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    Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.
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    Apache 2.0