"Answer" matching MCP servers:

Enables coding agents to turn videos from social platforms or local files into a small set of distinct frames plus a manifest, so they can answer visual questions by reading image paths. Also provides metadata lookup for captions and authors without downloading the video.

Search a YouTube video's transcript and get back only the moments that answer the question, each with a clickable timestamp deep link. Also reads the video's frames — slides, charts, demos and on-screen text — and verifies every citation against recorded evidence before returning it

MCP server for image recognition, supporting multiple vision backends (Anthropic, Zhipu, Ollama) to describe, answer questions, and analyze images.

A universal vision MCP server that enables Claude Code and Claude Desktop to describe images, extract text, and answer questions about images by converting visual content to text via multiple AI providers.

Enables AI agents to analyze and interact with Android phone screens via ADB, using the AutoGLM model to answer queries about screen content and coordinates.

Gives AI coding assistants real-time screen capture capabilities with multi-monitor support, PDF text extraction, and answer logging.

An MCP server that lets Claude Desktop watch videos from YouTube, Instagram, Facebook, or direct URLs, extracting transcripts and key frames to summarize and answer questions about video content.

A desktop tray MCP server that gives text-only LLMs vision by sending images to a multimodal model (e.g., MiMo) and returning the answer, allowing MCP-compatible agents to analyze local images, URLs, or base64 data.