"files and folders" matching MCP servers:

Enables AI assistants to search and audit a Serato DJ library by BPM and Camelot key, browse crates, detect duplicates and missing files, and stage new crates for review before writing.

An MCP server that enables AI assistants to log into Soulseek, search the network, and download files through simple tool calls.

Enables AI assistants to query and manage a local Engine DJ library on macOS, including searching tracks by BPM, key, genre, or comments, auditing duplicates and missing files, reading cues and beatgrids, and building playlists or fixing tags when write access is enabled.

Fetch Songsterr tabs and transpose them between tunings and string counts, outputting ASCII or Guitar Pro files.

Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

Enables AI clients to create and manage FindMe Photo wedding galleries, upload photos from local files or URLs, and retrieve analytics and QR codes using natural language.

A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.

The official MCP server for LabelGrid's music distribution platform, enabling natural language management of music catalogs, releases, files, analytics, royalties, webhooks, and distribution via a thin wrapper over the LabelGrid public API.

The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.

Enables an AI assistant to query the full YouTube Analytics, Data v3, and Reporting API surface for one or multiple channels you own, with unrestricted parameters, local OAuth handling, and large-result output to files.

Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.

Enables discovering and invoking all 97 published Frame.io V4 API operations through a searchable catalog, covering accounts, projects, folders, files, comments, shares, metadata, webhooks, and more using OAuth credentials. It also performs complete local multipart uploads, including chunked PUTs and upload status checks.

A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search

Enables managing a Sonarr TV show instance through natural language, including series and episode management, download queue monitoring, calendar tracking, and configuration of quality profiles and root folders.

Enables AI agents to manage Wistia media, folders, captions, channels, webinars, sharing, analytics, uploads, accounts, and background jobs through 169 stable API tools with guarded writes, bounded paging, and private account handling.

Enables AI music generation through Suno, allowing users to create songs with custom lyrics or AI-generated content, wait for completion, and download MP3 files.

Enables Claude to search and download music files from the Soulseek peer-to-peer network using a Soulseek account.

Enables interaction with the RedPanal audio platform to list, detail, download, and upload audio files.

Enables control and interaction with Commodore 64 Ultimate Computer devices through their REST API, allowing users to play SID/MOD files, load and run programs, manage disk images, configure settings, and control the C64 machine through natural language.