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    Enables searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.
    7
    5 npm
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    MIT
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    A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.
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    MIT
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    thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.
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    652 npm
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    MIT
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    Enables Dot/Codex hosts to read the game's authoring specifications and validate fighter manifests and asset packages with real WebP, hash, frame, and profile checks. It provides local MCP tools for creating and checking JSON-based fighter packages without uploading or registering them.
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    MIT
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    Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.
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    Apache 2.0
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    Enables AI agents to turn a single Markdown document into platform-ready output — WeChat Official Account inline-styled rich text, Zhihu HTML, Xiaohongshu 1080×1440 card sets with covers, split X/Threads/Bluesky/LinkedIn threads, long images, and rendered covers. Also supports AI-assisted captions and creating WeChat draft posts via the official API, plus listing available themes and styles.
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    MIT
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    Enables MCP clients to read any Windows window as text with coordinates, including control names, roles, clickability, and all on-screen text positions, so even models without vision can understand and act on the desktop. It is read-only, listing windows, finding elements by name, and waiting for text to appear, without clicking, typing, or stealing focus.
    MIT
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    Enables AI agents to read a Windows remote-desktop or VDI window as text via local OCR, with tools for reading, finding, waiting for text, and optional screenshots.
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    MIT
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    Enables text-to-image and image-to-image generation through the ModelScope API-Inference, including LoRA model support and local image input. It also provides keyword-based ModelScope model search for finding diffusion models and LoRA libraries.
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    MIT
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    Connects an AI client to a locally running Blender instance via a local MCP server plus addon, exposing scene queries, viewport previews and renders, file import/export, and script execution so the model can author its own modeling and material scripts. Defaults to a compact 12-tool script-oriented profile, with an optional compatibility mode exposing the full tool set.
    MIT