"A service for translating documents" matching MCP servers:

Thin Host Protocol Adapter between an MCP host and the Drama Plugin, exposing plugin tools via MCP with automatic discovery and secure routing.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

A model context protocol server that provides Berlin administrative service data, allowing AI assistants to search and retrieve over 1000 public service information provided by Berlin authorities.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

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.

Provides MCP access to the BangumiTV API, allowing users to retrieve and interact with anime, manga, music, and game information through natural language queries.

YouTube Content Extraction Service for the ME4 suite, enabling download, metadata, transcripts, and comments via MCP, HTTP, and ZMQ interfaces.

Enables fetching, searching, and summarizing YouTube video transcripts with multi-language support.

Enables natural language control of Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

Lets an MCP client read comment threads on your own YouTube channel, prepare replies, moderate or hide comments, and query YouTube Analytics reports. Every publishing or moderation action is held for explicit user confirmation before it takes effect.

A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.

Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.

Enables AI agents to manage RSS feeds and articles, safely extract full article text, and fetch YouTube transcripts through a token-optimized MCP interface.

YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.

A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.

A unified MCP server for your self-hosted media stack (Radarr, Sonarr, Jellyfin, etc.). It correlates across services to answer questions no single service can, with safety features like untrusted-output fencing and safe-by-default deletions.

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.

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.

A Model Context Protocol (MCP) server that provides Spotify integration, allowing AI assistants and applications to interact with Spotify's music streaming service.

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.

A WHOIS domain name query server based on Model Context Protocol (MCP), supporting the resolution of over 877 top-level domains and 169 country code top-level domains, and providing comprehensive domain name registration information query functions.

A Model Context Protocol server that enables AI assistants like Claude Desktop to interact with Spotify's music streaming service, supporting playback control, playlist management, music search, and user profile access.

MCP server exposing Dashbrr's REST API as tools, so an LLM can read and manage a dashbrr instance: configured services, per-service health, and summary panels for many apps. Write tools cover settings management, download-queue deletes, Overseerr approvals, UI preferences, and the Plex auth PIN flow.

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.

Enables AI agents to search and explore movies, TV shows, people, trending titles, recommendations, and streaming availability. Supports discovery by genre, year, score, runtime, language, and streaming service with compact, typed outputs.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

A group of model context protocol servers provide cognitive enhancement tools for large language models.

Enables AI assistants to search, request, and manage media through Overseerr and Seerr instances via the Model Context Protocol, including batch deduplication, request management, media details, and Radarr/Sonarr service discovery.