"Information about the number 555" matching MCP servers:

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

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.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

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

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

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.

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.

About MCP server for image conversion, resizing, and merging — runs locally, no uploads

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.

An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.

Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi

Enables users to stream or download YouTube video information and direct links via the Ytstream API. It supports geographic optimization and language selection for better download speeds and audio availability.

A Bilibili subtitle fetching MCP server that supports various input formats (BV number, video URL, short link) and offers configurable language preferences, output formats, and ASR fallback.

Enables executing Python scripts, rendering scenes, and controlling 3D objects in Blender via Claude, with support for Cycles and EEVEE engines.

Enables image generation using Google's Gemini 2 API with customizable parameters like aspect ratio, number of samples, and person generation settings.

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 self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.

Gives coding agents the ability to hear and reason about audio by describing sounds, matching them to text, locating key moments, detecting realness, generating timelines, and critiquing soundtracks. It also lets agents synthesize and iteratively improve their own sounds in code.

Provides comprehensive access to Blue Archive game data including students, equipment, stages, and multimedia content via the SchaleDB API. It enables AI assistants to perform advanced searches and retrieve detailed game information in English, Japanese, and Chinese.

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.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.

MCP server for YouTube that provides tools to fetch video metadata and transcripts, enabling natural language queries about YouTube videos.

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

Enables sending messages, photos, and videos, listing and searching chats, downloading shared or uploaded media, and retrieving user, story, follower, and post information from an Instagram account.

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

Provides intelligent access to GPAC multimedia framework's 8,600+ test cases, enabling AI assistants to answer questions about GPAC usage with precise, validated command-line examples. Users can ask natural language questions and get reliable GPAC commands for multimedia processing tasks like DASH streaming, MP4 encryption, and subtitle handling.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.