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    Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.
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    MIT
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    AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/
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    38 npm
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    MIT
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    Open-source home design and floor plan editor for AI agents: draw walls and rooms, place furniture, doors and windows, build kitchens and wardrobes, check lighting, ergonomics, electrical and plumbing against building codes, and render the plan, 3D views or photorealistic images. Runs in the desktop app, the browser or the hosted server, and every change can be undone.
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    Apache 2.0
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    Enables interaction with 3D printer management systems through an MCP server, supporting STL file manipulation, slicing, and control of printers like OctoPrint, Klipper, Duet, and more.
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    186 npm
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    GPL 2.0
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    Inspect, compare and export point clouds, meshes and calibrated depth data through MCP, with interactive inline 3D previews and PNG captures. Supports camera controls, selections, measurements, object transforms and animation playback.
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    MIT
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    Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner(ZH):给任何 AI agent 一个可校验的内容规范与资产底座——先查契约,再落笔。 描述 / Description:只读 MCP 服务器:把长内容的验收标准(协议 / 模块 / 管线 / 资产 / 馆藏)变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt(assemble_guide);支持 modern 2026-07-28 与 legacy 2025-11-25 双协议;零第三方依赖(Python 标准库);无写路径。 仓库 / Repo:https://github.com/Monyeah777/NinFenz 站点
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    MIT
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    Enables agents and WebGL developers to decimate dense meshes, Draco-quantize glTF/GLB assets, audit geometry for non-manifold defects and holes, and perform exact arbitrary-precision CSG boolean operations. Each tool is metered through x402 USDC micropayments on Base L2.
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    MIT
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    Perplexity for social: ask what competitors are running across social and get answers grounded in real ad and creative data, not guesses.
    2
    Apache 2.0