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    Nectar is a stdio MCP server for Pollinations image and video generation. It gives MCP clients a small, focused toolset for generating images, editing images, generating videos, listing available image/video models, and checking pollen balance.
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    28 npm
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    Apache 2.0
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    Enables an AI assistant to conversationally control Autodesk AutoCAD, drawing, inspecting, and editing plans, and includes a cross-platform DXF engine that runs without AutoCAD on macOS and Linux. It exposes tools for rendering views as images, batching geometry, blocks, and structures, measuring and checking plans, and undoing whole batches.
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    MIT
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    Unified MCP server for generating and editing images across multiple AI models (Nano Banana, Gemini, GPT Image) with a single prepaid API key, offering tools for image generation, editing, model listing, and balance checking.
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    25 npm
    MIT
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    Enables reading and creating projects in a local CapCut draft library through natural language — listing timelines, checking for missing media, and generating new edits from clips, with cuts automatically matched to the beat of a track. It works by cloning an existing draft as a structural template, so new projects inherit CapCut's undocumented file format.
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    MIT
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    Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.
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    MIT
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    Enables AI agents to generate images and videos using 30+ models (Seedream, Sora, Veo, etc.) via the Gwanggo API. Provides tools for model listing, image/video generation, task checking, and credit balance.
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    MIT
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    Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
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    MIT
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    An MCP server that integrates with Siril astronomical image processing software to process Seestar telescope images, offering tools for binary detection, version checking, mosaic processing, and project analysis.
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    MIT
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    Enables local image analysis and review using OpenAI-compatible vision VLMs, including conformance checking of generated images against composition, scenery, and expression specs, plus frame review, reference checking, and rubric scoring.
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    MIT
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    Enables printing PNG labels to a nearby thermal label printer over local serial or Bluetooth, with tools for rendering previews, checking printer status, and printing with confirmation.
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    MIT