{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_kvz-transloadit-mcp-server","slug":"kvz-transloadit-mcp-server","name":"Transloadit MCP Server","type":"mcp","url":"https://transloadit.com/docs/topics/ai-agents/","page_url":"https://unfragile.ai/kvz-transloadit-mcp-server","categories":["mcp-servers","code-editors","app-builders","data-pipelines"],"tags":["mcp","model-context-protocol","smithery:kvz/transloadit-mcp-server"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_kvz-transloadit-mcp-server__cap_0","uri":"capability://automation.workflow.video.encoding.with.hls.support","name":"video encoding with hls support","description":"This capability allows for the encoding of video files into HLS format using a series of media processing robots. It leverages FFmpeg commands orchestrated through the MCP server, enabling seamless integration with AI agents to automate video streaming workflows. The architecture supports dynamic encoding parameters based on user input, making it adaptable to various use cases.","intents":["How can I encode my video files into HLS format for streaming?","Can I automate the video encoding process through my AI assistant?","What tools can I use to integrate HLS video encoding in my application?"],"best_for":["developers building streaming applications with AI capabilities"],"limitations":["Requires a stable internet connection for processing; large files may take longer to encode."],"requires":["Node.js 14+","API key for Transloadit"],"input_types":["video files (MP4, AVI, etc.)"],"output_types":["HLS video streams"],"categories":["automation-workflow","media-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_kvz-transloadit-mcp-server__cap_1","uri":"capability://image.visual.image.resizing.and.optimization","name":"image resizing and optimization","description":"This capability enables the resizing and optimization of images through a series of predefined media processing robots. It employs a pipeline architecture that allows users to specify dimensions and quality settings, which are then processed in real-time, ensuring fast and efficient image handling. The integration with AI assistants allows for automated image adjustments based on contextual needs.","intents":["How can I resize images automatically for my web application?","Can I optimize images for faster loading times using my AI assistant?","What is the best way to handle bulk image resizing?"],"best_for":["web developers looking to optimize images for performance"],"limitations":["Limited to common image formats; complex transformations may require additional processing time."],"requires":["Node.js 14+","API key for Transloadit"],"input_types":["image files (JPEG, PNG, GIF)"],"output_types":["optimized image files"],"categories":["image-visual","media-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_kvz-transloadit-mcp-server__cap_2","uri":"capability://data.processing.analysis.ocr.text.extraction.from.images","name":"ocr text extraction from images","description":"This capability allows users to extract text from images using advanced OCR technology integrated within the MCP server. It processes images through a dedicated OCR robot, which analyzes the image content and returns structured text data. The architecture supports multiple languages and custom OCR settings, making it versatile for various applications.","intents":["How can I extract text from scanned documents automatically?","What tools can I use to implement OCR in my AI workflows?","Can I customize the OCR settings for different languages?"],"best_for":["developers needing to automate document processing and text extraction"],"limitations":["OCR accuracy may vary based on image quality and text complexity."],"requires":["Node.js 14+","API key for Transloadit"],"input_types":["image files (JPEG, PNG, TIFF)"],"output_types":["structured text data"],"categories":["data-processing-analysis","media-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_kvz-transloadit-mcp-server__cap_3","uri":"capability://image.visual.thumbnail.generation.for.images","name":"thumbnail generation for images","description":"This capability generates thumbnails from larger images using a streamlined processing pipeline. The MCP server utilizes predefined settings for thumbnail dimensions and quality, allowing for quick generation and integration into web applications. Users can automate thumbnail creation as part of their media processing workflows, enhancing efficiency.","intents":["How can I automatically generate thumbnails for my image gallery?","What is the best way to create thumbnails in bulk?","Can I customize the thumbnail size for different platforms?"],"best_for":["web developers managing large image libraries"],"limitations":["Thumbnails are limited to specific aspect ratios; custom shapes may require additional processing."],"requires":["Node.js 14+","API key for Transloadit"],"input_types":["image files (JPEG, PNG)"],"output_types":["thumbnail image files"],"categories":["image-visual","media-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_kvz-transloadit-mcp-server__cap_4","uri":"capability://automation.workflow.ffmpeg.command.execution.for.media.processing","name":"ffmpeg command execution for media processing","description":"This capability allows users to execute custom FFmpeg commands for advanced media processing tasks. The MCP server provides a command interface that integrates with AI agents, enabling users to automate complex media transformations such as format conversions, filters, and effects. This flexibility allows for tailored processing workflows based on specific project needs.","intents":["How can I run custom FFmpeg commands through my AI assistant?","What are the best practices for automating media processing with FFmpeg?","Can I integrate FFmpeg commands into my existing workflows?"],"best_for":["media professionals and developers requiring advanced processing capabilities"],"limitations":["Requires knowledge of FFmpeg syntax; complex commands may lead to longer processing times."],"requires":["Node.js 14+","API key for Transloadit"],"input_types":["media files (video, audio, images)"],"output_types":["processed media files"],"categories":["automation-workflow","media-processing"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":43,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 14+","API key for Transloadit"],"failure_modes":["Requires a stable internet connection for processing; large files may take longer to encode.","Limited to common image formats; complex transformations may require additional processing time.","OCR accuracy may vary based on image quality and text complexity.","Thumbnails are limited to specific aspect ratios; custom shapes may require additional processing.","Requires knowledge of FFmpeg syntax; complex commands may lead to longer processing times.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43724071531404024,"quality":0.45,"ecosystem":0.5900000000000001,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:26.915Z","last_scraped_at":"2026-05-03T15:18:31.930Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=kvz-transloadit-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=kvz-transloadit-mcp-server"}},"signature":"VEgmDh80K5r8e095Di15MPTgag6TCSWjkao1nWUPK3ehBgcE5GS73hsTOrJzKHNm37Qr8QxAcVKY7HJYMsSMCg==","signedAt":"2026-06-22T01:37:27.725Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/kvz-transloadit-mcp-server","artifact":"https://unfragile.ai/kvz-transloadit-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=kvz-transloadit-mcp-server","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}