"Controlling Bots in Video Games" matching MCP servers:

An MCP server that generates MP4 b-roll videos from scene specs, enabling AI agents to create branded overlays for short-form video without After Effects.

Enables AI image generation using Doubao Seedream models and video generation using Doubao Seedance models through Volcano Engine's API, supporting text-to-image, image-to-image, text-to-video, and task status queries.

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 video generation from text prompts or images using Agnes AI's video models, with async task submission and status polling.

An MCP server that enables generating images via OpenAI and images/videos via Google Gemini (including Veo video generation), saving outputs to local asset folders. It integrates with Claude Code and any MCP client using your own API keys.

Multi-provider AI video, speech, music, and transcription MCP server enabling video generation, image-to-video, TTS, music creation, and speech-to-text via a unified interface.

An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/CSS, and orchestrating complex FFmpeg renders.

Enables AI-powered video editing in IDEs through a pipeline-driven workflow, including proxy ingestion, motion graphics generation, and high-fidelity rendering.

MCP server for evidence-aware video research, providing tools to analyze local videos, inspect specific time windows, and analyze Bilibili videos with provenance tracking and optional audio removal for privacy.

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 AI agents to edit video using text-based proxies, motion graphics via Hyperframes, and advanced FFmpeg rendering, turning any LLM IDE into a professional video editor.

A read-only, deterministic server that enables assembling copy-ready video prompts, planning timed shot sequences, diagnosing prompt clarity and current duration/resolution/reference/end-frame/audio limits, and retrieving canonical creation, guide, pricing, and policy URLs.

An MCP server that provides video editing tools via ffmpeg, enabling tasks like trimming, merging, adding overlays, and format conversion.

Enables analyzing a Douyin, Xiaohongshu, or Bilibili video link to generate a reusable editing blueprint with shot, caption, speech, rhythm, and visual analysis.

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.

Enables comprehensive video file analysis including extracting metadata, stream information, bitrate calculations, and generating technical reports. Supports all FFmpeg-compatible video formats with output in JSON, text, or Markdown formats.

Enables extracting screenshots from video files at specific timestamps or intervals. Supports multiple video formats and output customization including resolution, quality, and format options.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

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