"Prime Video" matching MCP servers:

Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.

MCP server for video analysis — extracts transcripts, key frames with OCR, and annotated timelines from video URLs. Supports Loom and direct video files (.mp4, .webm). Zero auth required.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables MCP clients to submit public video links or local video files for analysis and receive AI-generation probability scores for picture and sound, with tools to retrieve results and check remaining credits.

Analyzes images, audio, and video using Google's Gemini AI, with support for downloading videos from URLs such as Bilibili and YouTube.

An MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.

Enables the retrieval of subtitles, danmaku (bullet comments), and video comments from Bilibili using standard or short video URLs. It supports multiple transport methods and requires Bilibili authentication via SESSDATA.

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

This MCP server enables users to read from and write to TallyPrime via its XML/HTTP gateway, supporting operations like ledger management, voucher creation, and financial report retrieval through natural language.

Enables AI agents to manage Vimeo video libraries through natural language, including bulk folder operations, transcripts, chapters, captions, showcases, tags, privacy, and embed presets.

Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.

Provider-neutral short-form AI video toolkit for agents: Sora, Gemini Veo, xAI/Grok and Seedance.

A Model Context Protocol server that provides video processing capabilities including format conversion, metadata extraction, and batch processing with configurable quality settings.

A Model Context Protocol server that provides video manipulation capabilities, allowing users to clip, merge, and split video files through MCP integration.

A professional video format conversion tool based on MCP protocol that supports multiple formats, batch processing, and quality control for video files.

Provides powerful video and audio editing capabilities through FFmpeg, enabling AI assistants to perform professional-grade operations including format conversion, trimming, overlays, transitions, and advanced audio processing.

Provides video enhancement capabilities through MCP tools for creating, monitoring, and synchronously processing video enhancement tasks with configurable resolution options.

High-performance MCP server that enables generation of images and videos using FAL AI models with automatic downloads to your local machine.

Enables AI agents to create and manage video compilations through n8n workflows with smart query optimization, quality analysis, batch processing, and trusted channel filtering for platforms like YouTube.

Self-hosted video intelligence pipeline that turns video into structured, citable, queryable JSON scene graphs, enabling AI assistants to analyze and search across video libraries without re-processing.