"Installing MCP (Minecraft Coder Pack) servers into an IDE" matching MCP servers:

Allows AI assistants to connect to and control Minecraft players on remote servers, enabling navigation, building, mining, inventory management, entity interaction, and chat communication through natural language commands.

Enables managing a PCRadio Internet radio device via its HTTP API, including playback, channels, volume, EQ, sound effects, user stations, alarms, NTP servers, and timezone settings through Streamable HTTP.

Enables an LLM to compare cinema showtimes across Italian cinema chains (UCI Cinemas and The Space Cinema), aggregating results into a compact text view.

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

Enables AI agents to turn raw or loosely formatted screenplay text into professionally structured screenplay blocks and typeset plain text on fixed CJK or Latin character grids, with deterministic scene analysis, shootability diagnostics, and Fountain conversion. It runs locally with no account, key, quota, or network calls.

An MCP server for the Servarr stack — Sonarr, Radarr, Lidarr, Readarr, and Prowlarr — packaged as a Docker container. Lets an MCP client (Claude Desktop, etc.) browse and search whichever \*arr apps you're running.

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.

A MCP server that implements sequential thinking protocols, provides structured problem-solving methods, decomposes complex problems into manageable steps, and supports iterative optimization and alternative reasoning paths.

Enables agents to turn public video links into timestamped transcripts, chapters, and clip suggestions for YouTube, Twitch, Kick, and TikTok.

Turns a YouTube channel into a webhook that delivers signed HTTP POST notifications ~8 seconds after a new video is published, without polling or YouTube API quota.

The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.

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.

MCP server that provides YouTube video data to AI agents, supporting search, metadata, comments, and transcripts without an API key.

An MCP server for organizing YouTube playlists via the YouTube Data API v3, enabling playlist and playlist item creation, listing, updating, and deletion through natural language.

Enables an LLM to search and read a self-hosted media library over its HTTP API — videos and captions, archived web pages, ebooks and documents, Zim encyclopedias, maps, tags, inventories, and the download queue. It runs read-only on your own computer and returns links back into the web app.

An intelligent movie and TV series resource search tool based on Model Context Protocol (MCP), supporting multi-source search and link verification.

Integrates ThePornDB API into MCP-compatible applications to search for adult video scenes, movies, and JAV content. It enables users to retrieve detailed performer profiles and comprehensive content metadata through specialized tools for LLM applications.

Enables AI coding agents to access Bilibili video data and turn videos into notes, including search, video info, subtitles, chapters, audio download, ASR transcription, comments, uploader collections, and favorites.

一个快速、高效的网页内容提取工具，将网页转换为干净的Markdown格式，适用于AI代理、IDE和LLM管道。

Smart Search MCP is an intelligent search toolkit focused on the technology field, providing 14 enhanced search tools covering mainstream international and domestic technology platforms. It has functions such as intelligent URL generation, input verification, and advanced search techniques, making i