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    Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
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    658 npm
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    MIT
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    fixRAgent triages one photo of a building problem: what it is, how urgent (EMERGENCY, TODAY, THIS WEEK or WHENEVER), which trade to call, and what to tell the resident. Remote server at https://fixragent.com/mcp with three tools: try_sample, assess_property_photo, get_triage_profile. No key needed to start.
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    MIT
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    Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.
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    117 npm
    MIT
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    An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.
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    MIT
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    MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.
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    1,131 npm
    Apache 2.0
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    MCP server that connects an AI assistant to a running ComfyUI instance, allowing it to fetch saved workflows, inject a prompt and seed, run generation, and return the image inline in chat.
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    GPL 3.0
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    Offline PDF tools from the LaserPDF desktop app: extract and search text, OCR scanned pages (English and Turkish), redact text so it is removed from the file, remove hidden metadata, export tables to Excel, and merge, extract or rotate pages.
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    GPL 3.0
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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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    Enables AI video dubbing by letting users submit video URLs for dubbing into Russian, English, or Spanish while preserving original speakers' voices through voice cloning, plus job status and cost estimation tools.
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    MIT
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    Enables agents to inspect local videos, audio recordings, and documents by producing storyboard grids, timestamped transcripts, page images, and page-aligned text, with tools for probing media, zooming into details, locating terms, and reading subtitles. It works only with local absolute paths and does not download content or call an LLM.
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    Apache 2.0
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    Captions video and audio files on your computer with Cuecaps: animated word-by-word captions in 10 styles, exported as a burned-in MP4, a transparent MOV/WebM overlay for Premiere, Resolve or CapCut, or SRT/VTT subtitles. Rendering runs in local headless Chrome, so the video never uploads; captioning needs a Cuecaps Creator or Pro key.
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    685 npm
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    Anonymize technical-drawing PDFs before sharing them — company names, logos, people, addresses, phone numbers, emails and websites found automatically and masked; tamper-proof flattened, metadata-free PDF or an expiring share link. NDA- and GDPR-safe drawing exchange.
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    141 npm
    MIT
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    mediamcp is an MCP server that connects your AI assistant — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, or anything else that speaks MCP — to cloud media models (Gemini Flash Image, GPT-5 Image, Seedream, Veo, Sora, …) via OpenRouter or any OpenAI-compatible API.
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    79 npm
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    MIT
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    Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.
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    MIT
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    Local MCP server for PDF and photo tasks: merge, split, rotate and number PDFs, convert images to PDF, and inspect or strip hidden photo metadata (EXIF/GPS). Runs entirely on your machine — no uploads, no accounts, no API keys.
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    MIT
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    Enables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.
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    91 PyPI
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    MIT