"General Information Request" matching MCP servers:

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.

MCP server for GIF animation analysis. Provides metadata extraction, individual frame export, and per-frame timing information.

MCP server that transcribes songs into multi-track General MIDI files, identifying instruments and structuring tracks. Accepts audio files and manages transcription jobs with queue and ETA.

Enables AI-powered YouTube video analysis including transcript management, video summaries, chapter generation, keyword extraction, and playback control. Supports searching videos, retrieving channel/playlist information, and translating transcripts using Google Gemini AI.

Generates high-quality images using Google's Imagen 3.0 model via the Gemini API with support for up to four images per request. It provides automated file management and creates HTML previews for seamless image viewing within MCP-compatible hosts.

Enables creating complete product presentation videos from a single ChatGPT request, with browser-based rendering and export to multiple aspect ratios.

Enables AI assistants to browse, run, and chain SnapOtter's 243 file-processing tools across image, video, audio, PDF, and general files, including pipeline execution, batch processing, and library management.

Enables an AI client to obtain the text of a YouTube video by returning its metadata, the captions YouTube already provides, or a Whisper transcription run on a local GPU. Text responses are bounded and pageable, and long transcriptions run as background jobs that survive request timeouts.

Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.

Enables extraction of YouTube video information including metadata (title, description, channel, views) and transcripts without requiring an API key, using yt-info-extract and yt-ts-extract libraries.

Enables AI assistants to control and query Blender scenes through local MCP, allowing operations like retrieving scene information with objects and materials.

Enables generating short videos for Chinese herbs with information, images, voiceovers, and video synthesis using Volcano Engine's Doubao models.

Enables AI image generation, editing, and composition using Google's Gemini image models (Nano Banana Pro and Nano Banana). Supports text-to-image generation, multi-image composition, flexible aspect ratios, high-resolution output up to 4K, and real-time information grounding.

An MCP server that extracts and analyzes subtitles from YouTube and Bilibili videos, supporting time-stamped keyword search and video information retrieval.

Enables AI assistants to remove backgrounds from images using the Poof API via URLs, file paths, or base64 encoding. It also allows users to monitor their account information and remaining credit balance.

An MCP server that enables the extraction of transcripts and detailed metadata from YouTube videos. It allows users to retrieve video information like titles and descriptions, as well as transcripts with optional timestamps and language selection.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

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.

Extracts YouTube video metadata and transcripts without requiring API keys, enabling users to retrieve video information, captions, and timestamps through web scraping with built-in caching and error handling.

A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.