"Prime Video" matching MCP servers:

Enables comprehensive video file metadata management including reading, editing, and batch processing of video properties like title, description, tags, and technical specifications. Supports multiple video formats with intelligent caching and search capabilities.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

Reads PDF, image, or video files by sniffing format and delegating to specialized sibling MCP servers, extracting facts and metadata without LLMs.

Reads and writes metadata across images, audio, video, documents, and text files using ExifTool, mutagen, and inline handlers, supporting bulk operations with glob patterns.

Enables AI agents to browse, search, read, upload, and manage Drime Cloud files through MCP-compatible clients, with read-only mode by default and optional write operations.

Enables video processing operations (speed adjustment, keyframe optimization, concatenation, and file management) using FFmpeg via Claude Desktop.

An MCP server for managing a video pipeline with file, Excel, and search tools, integrated with Claude AI via a cloudflared tunnel; media processing (TTS/STT/images/montage) is under development.

MCP server that receives base64-encoded video files, saves them locally, and supports listing and deletion; works via stdio for local agents and HTTP for remote clients.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

File conversion for AI agents: office docs to PDF, PDF to Word, document interchange (Markdown/HTML/EPUB/LaTeX), and audio/video transcodes via the hushvert hosted API. Tools: convert_file, convert_poll, list_formats, check_usage.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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.

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

Enables LLMs to create, edit, and manage AviUtl2 video projects, with optional real-time control via a native bridge plugin.

Provides MCP tools to read SJTU Canvas data, download course files, and access video/subtitle resources without authentication simulation.

Provides tools to convert, resize, compress, crop, and rotate files (images, audio, video, PDF, archives, and more) through formatika.app, processing files locally and preserving existing files.

Enables an MCP client to scan a local folder, sort photos, video, music, documents, and PDFs into lanes, and create resized or trimmed copies while showing moves in a browser desk. It can also seal a SHA-256 digest of the sort log to Solana devnet for later verification.

An MCP server that integrates Shaka Packager with Claude AI applications, enabling Claude to analyze, transcode, and package video files for streaming in formats like HLS and DASH.

Enables MCP clients to discover OpenRouter image and video models, generate and edit images, create variations, launch and monitor video jobs, and save resulting media into authorized local project directories with cost controls.

Enables AI assistants to inspect, convert, resize, crop, merge, extract and OCR local images, PDFs, audio and video entirely on the user's machine. Modules can be toggled individually, and all operations stay within a sandboxed working folder with atomic writes and no data sent anywhere.