"Prime Video" matching MCP servers:

OpenAI Sora AI video generation with text-to-video, image-to-video, character reuse across scenes, and async webhook callbacks.

Enables a fresh Claude Code session to retrieve the repository's versioned convention card — grounding triggers, calibration rules, and tool map — over stdio via get_conventions and list_scopes. It is read-only, leaves CLAUDE.md unmodified, and requires no network service or third-party runtime.

Connects Claude to the Statonic video editor to enable vision-based reference video analysis and AI-driven project authoring. It allows for the direct generation of project variations and automated video structure identification through the Model Context Protocol.

Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.

Provides chat and image analysis capabilities through OpenRouter.ai's diverse model ecosystem, enabling both text conversations and powerful multimodal image processing with various AI models.

Enables AI agents to turn natural-language creative direction, transcripts, and source media into fully structured, editable video projects, then verify and render delivery files.

Enables MCP clients to compute shortest paths, topological dependency orderings, maximum network flows, minimum spanning trees, and PageRank-style centrality over graph topologies using only the Python standard library. It supports optimal multi-agent communication backbone and execution-plan analysis without external graph dependencies.

Exposes foldkit 7-prime spine, κ-band classification, and 6 fold operations as tools and resources for MCP-compatible AI clients like Claude Code.

A video analysis system that uses AI vision models to process, analyze, and query video content through natural language, enabling users to search videos by time, location, and content.

Enables users to achieve high-level life and commerce goals by decomposing them into autonomous steps, such as planning trips, searching Prime-eligible products, optimizing a budget cart, and authorizing purchases through human-in-the-loop confirmation.

Exposes foldkit's 7-prime spine, 7 κ-bands, and 6 fold operations as MCP tools and resources for AI agents to fold/unfold states, classify utterances, and apply fold operations.

Exposes a production badminton video-analysis engine as agent tools, recording branch decisions and refusing uncertain analyses.

Enables computer-use clients to control KVM devices via MCP tools for listing, opening, viewing, and controlling remote computers with low-latency video and input.

MCP server for WeChat PC automation, enabling message sending, voice/video calls, and AI-powered listening through Cursor or WorkBuddy.

RelayGPU MCP gives AI agents access to 80+ open and closed AI models for text, image, video, audio and embeddings. Agents can discover models, check pricing, generate content and run workflows, with new models added to the catalogue regularly.

Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.

AI agent social media posting for short-form video. Taisly Agent Kit is a JSON-first SDK, CLI, Agent Skill, and MCP server that lets AI agents, developer tools, and automation workflows publish videos to TikTok, Instagram Reels, YouTube Shorts, X, Facebook, and other connected social platforms through Taisly

Use XAI's latest api functionalities with Grok MCP. It supports image understanding and generation, live search, latest models and more.

Drives an AI CMO to add products, generate on-brand content (UGC video, posts, images), approve, and publish across 30+ platforms via natural language.

Enables Claude Code and Codex hosts to route work to bounded local AI subscription workers through signed-in clients, with saved workflow contracts, evidence checkpoints, reviewed model memory, video and social evidence capture, and bounded failover. Manages long-running tasks via pinned Git worktrees and an external supervisor that can swap a stopped host for another provider's client.