"Understanding and Using JSON" matching MCP servers:

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

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

Enables AI agents to start and stop native GNOME Shell screen recordings via MCP tools, returning JSON with file path, size, and duration without depending on ffmpeg or wf-recorder.

MCP server that fetches YouTube video transcripts and optionally summarizes them. Supports multiple transcript formats (text, JSON, SRT, WebVTT), multi-language retrieval, and flexible YouTube URL parsing.

MCP server that lets LLMs drive Adobe After Effects, enabling project inspection, comp/layer mutations with undo support, JSON checkpoint/restore, and render-verification of edits.

An MCP server that parses Douyin share links and performs intelligent content analysis using the Doubao video understanding model. It provides structured outputs including video summaries, categorized outlines, and step-by-step tutorial information.

Wallet-funded MCP client for six paid Utilia tools: Solana priority fees, transaction diagnosis and simulation, token-risk checks, PDF-to-Markdown, and audio normalization over x402. MIT-licensed and installable from npm.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

Fetches YouTube video subtitles and transcripts with support for multiple languages and output formats (SRT, VTT, TXT, JSON).

Official Zvid MCP server: render videos and images from JSON and manage templates, projects, webhooks and credits from any MCP client — Claude, Cursor, Codex, n8n — through the Zvid REST API.

Enables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.

Enables fetching YouTube video transcripts with metadata, including timed captions in multiple formats (JSON, SRT, VTT, CSV, TXT) and preprocessing options.

MCP server for image analysis, providing OCR text extraction, image metadata, and EXIF/GPS data as structured JSON for downstream processing.

Generates and returns and image using Together.ai

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 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.

MCP server for reading, validating, and modifying Spine 4.1.24 JSON animation files, with tools for animation timeline editing, validation, preview, and agent integration.

Enables prompt-driven scene generation for computer animation using a JSON-serializable scene model and physics simulation backend.