"Creating files in Xcode development environment" matching MCP servers:

Two prediction examples in the Alink tutorial: input a year to predict GMV; input a piece of feedback to analyze its sentiment (positive/negative).

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.

Youtube, readable in AI chats.

Enables AI to send expressive stickers based on conversation context, with a built-in UI for managing stickers.

Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.

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

14 tools for AI agents: transcript extraction in five formats with adjustable segment size, video metadata, video and channel search, channel browsing, in-channel search, playlists, and an asynchronous batch job for up to 4,000 transcripts. Free tier: 100 credits on signup, no card.

Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.

An MCP server that enables highly personalized music recommendations from TIDAL based on custom criteria, allowing users to create and manage playlists directly in their TIDAL account.

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

A server that lets you get customized music recommendations from TIDAL based on your specific criteria, allowing you to create new playlists directly in your TIDAL account.

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.

Generates O'Reilly parody book covers that display directly in Claude Desktop application, allowing users to create custom covers with titles, subtitles, authors, and visual themes.

Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.

Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.

Context7 MCP is a service that provides developers with the latest code documentation and examples. By integrating into the development environment, it ensures that the code generated by LLMS is based on the latest library documentation.

Enables AI assistants to interact with the Vibe CTV/streaming advertising platform, allowing listing of advertisers, apps, campaigns, and creating reports via the Vibe API.

Enables secure local management of Yoto cards, devices, and audio uploads through the official Yoto API, using OAuth PKCE authentication with read-only tools enabled by default and opt-in writes.