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maintenanceGive your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.
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Apache 2.0
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"Information about 'Firma' and Its Context" matching MCP servers:
- AlicenseAqualityBmaintenanceMCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.21821MIT
- AlicenseBqualityCmaintenanceCompress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.31MIT
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- AlicenseNot gradedqualityDmaintenanceA streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that enables Codex to run image generation and inspection as durable jobs, returning bounded text results and references instead of image bytes to keep context manageable.100Apache 2.0
- AlicenseAqualityCmaintenanceMCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.5472MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.746MIT
- FlicenseAqualityCmaintenanceReads website pages and generates one cohesive image per page, with no text and no recognizable human faces.3
- FlicenseAqualityBmaintenanceEnables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.4
- FlicenseAqualityDmaintenanceEnables AI image generation, editing, and composition using Google's Gemini image models (Nano Banana Pro and Nano Banana). Supports text-to-image generation, multi-image composition, flexible aspect ratios, high-resolution output up to 4K, and real-time information grounding.4
- AlicenseAqualityAmaintenanceFableCut is a Premiere-style non-linear video editor that runs entirely in your browser — and exposes its whole timeline as one JSON document. Edit it by hand, from the UI, or let an AI agent (Claude Code, Claude Desktop, or anything that speaks MCP/REST) cut your video for you while you watch the timeline update live.7616MIT
- AlicenseAqualityDmaintenanceMCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.315BSD 2-Clause "Simplified"
- AlicenseAqualityCmaintenanceMCP server that analyzes images with Google's Gemini vision models, allowing agents to describe or ask questions about images without bloating context.1MIT
- AlicenseAqualityCmaintenanceExposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.3MIT
- AlicenseAqualityDmaintenanceAnalyzes webpage screenshots to extract precise layout information by locating image assets and calculating spatial relationships, enabling AI assistants to accurately recreate layouts with proper semantic structure using computer vision.36MIT
- FlicenseAqualityDmaintenanceA Model Context Protocol server that provides web and image search capabilities through Google's Custom Search API, allowing AI assistants like Claude to access current information from the internet.22
- AlicenseAqualityCmaintenanceProvides access to AI Swap Face's image generation styles, pricing, FAQ, and official links. Enables AI clients to retrieve information about this online face-swapping tool.3MIT
- AlicenseAqualityDmaintenanceAbout MCP server for image conversion, resizing, and merging — runs locally, no uploads5151MIT
- AlicenseAqualityCmaintenanceA universal vision MCP server that enables Claude Code and Claude Desktop to describe images, extract text, and answer questions about images by converting visual content to text via multiple AI providers.314MIT