"Information about computer filesystems" matching MCP servers:

Enables image captioning and analysis through natural language by processing images from URLs or local files. Supports both OpenRouter's Gemini 2.5 Flash and local vision models for generating concise, descriptive captions.

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.

Converts Office documents, images, and e-books to PDF and transforms PDFs by merging, splitting, rotating, numbering, watermarking, compressing, protecting, or unlocking them, plus PDF-to-Word and PDF-to-image conversion, all driven by natural language. Files stay on the user's computer apart from the conversion itself, which runs on EU-hosted servers in France.

Enables AI assistants to generate animated overlays and edit short videos — cutting clips together, removing pauses, adding captions, and exporting overlays as MP4, MOV or WebM with transparent or green-screen backgrounds. All rendering, transcription and media handling happen locally on the user's own computer.

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.

Enables agents to record their Linux X11 display while doing browser or computer-use work, then return a replay link when the task finishes without sending the video itself to the model.

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.

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

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 MCP clients to inspect and edit animation inside a running Cascadeur instance without Computer Use, including scene/object and skeleton rig inspection, bounded joint and Point-target pose edits, snapshots, playback observation, and FBX export.

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.

Enables AI assistants to generate photorealistic 3D scenes, indoor environments, and individual 3D assets procedurally using Infinigen. Supports various export formats and computer vision annotations for generated scenes.

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

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.

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 Model Context Protocol (MCP) server for seamless integration with peripheral devices connected to your computer. Control, monitor, and manage hardware devices through a unified API.

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.

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.