"Understanding File Usage" matching MCP servers:

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

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

Enables file conversion between 690+ formats (image, video, audio, document, data, font, ebook, archive) using an MCP server, with no API key or signup required.

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

Facilitates the creation of DecentSampler drum kit configurations, supporting WAV file analysis and XML generation to ensure accurate sample lengths and well-structured presets.

Let AI agents watch videos: local transcripts, speaker labels, scenes, chapters and exact-moment search from any video URL or file. Fully local, no API keys.

Enables AI agents to add text or logo watermarks to images via URL, batch watermark up to 20 images, and check usage, with a free tier available.

Enables local-first video understanding by extracting metadata, transcripts, keyframes, OCR, and timeline data, and supports sorting shoot folders by topic and quality.

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 clients to start and monitor Amazon product extraction jobs, retrieve cached product media, convert Amazon playlist videos to MP4, and check account usage through a hosted MCP endpoint or local stdio bridge.

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

A Model Context Protocol server that converts over 29 file formats, including PDFs, Office documents, and audio, into structured Markdown using Microsoft's MarkItDown library. It enables AI assistants to process diverse document types through single file conversion and batch directory processing.

Extracts rich metadata from images including EXIF, GPS, IPTC, and XMP, with x402 payment support for monetized usage.

Enables LLMs to extract YouTube video transcripts with timestamps, metadata, and file export.

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 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.

Parse any file or URL into structured text. Extract text from PDF, DOCX, YouTube, web pages, images, and 25+ formats via one API. Tools: parse_url, parse_file, get_youtube_transcript.

Enables AI agents to configure audio hosting on AudioDN through MCP tools, including knowledge tools for accurate API usage.

Enables comprehensive video file metadata management including reading, editing, and batch processing of video properties like title, description, tags, and technical specifications. Supports multiple video formats with intelligent caching and search capabilities.

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.

Enables AI assistants to generate images, videos, and PDFs from templates, manage templates, upload assets, organize folders, and access account usage through natural language.

MCP to analyse local audio file.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

MCP server for converting various file formats (PDF, DOCX, images, audio, etc.) to Markdown using Microsoft MarkItDown, with support for large files and Cyrillic text.

Enables creating and managing BeatAPI AI Music Video and Ecommerce Video workflows. Supports inspecting workflows, credits, usage, uploading files, creating tasks, polling tasks, and managing webhooks.

A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.

Enables AI agents to see and control Android devices through ADB and scrcpy, supporting screenshots, input, app management, UI automation, shell/file access, and audio/video streaming.

An AI-powered file management system that integrates with Claude Desktop to provide intelligent file analysis, multimedia processing, and automatic organization.

Provides image understanding capabilities via local OCR and cloud VLM, enabling text extraction and visual description through MCP.

A Model Context Protocol (MCP) server for converting files between different formats