"Personalized Summary Service" matching MCP servers:

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

Create and deliver personalized video gifts (photos + an original song) from any Model Context Protocol client.

Calculates Pythagorean numerology core numbers (Life Path, Expression, Soul Urge, etc.) from name and birth date, returning structured text and a summary card PNG.

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

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

A community-maintained MCP server for TIDAL that enables personalized music recommendations, full playlist management, and advanced search across tracks, albums, artists, and playlists via natural language.

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 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.

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.

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 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 powerful MCP server for summarizing YouTube videos with transcript fetching, intelligent summarization, key point extraction, and metadata retrieval.

Enables agents to search, explore trending content, retrieve video metadata and hot comments, and obtain subtitle transcripts for summarisation on Bilibili, with an anonymous tier and an optional account tier for personalized feeds.

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.

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 assistants to access a PlayStation Network account's gaming history, including playtime, trophies, and library, to provide personalized game recommendations based on real data.

Enables AI assistants to interact with MyAnimeList user accounts for list management, progress tracking, and personalized anime recommendations.

A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.

Enables interaction with TIDAL music streaming service through 27 tools for searching music, managing playlists, favorites, and discovering artists and albums.

Enables LLMs to access a Letterboxd user's recent diary entries and reviews, so they can make personalized movie recommendations based on viewing history and written opinions.

An MCP server that scrapes and transcribes podcast episodes from YouTube or RSS feeds using Deepgram's Nova-2 model. It allows users to track podcasts for new episodes, manage transcripts, and generate personalized summaries through Claude.

Enables AI agents to control NetEase Cloud Music playback, login, search, and get personalized recommendations through official APIs.

Integrates Spotify with Claude to enable voice-controlled music playback, playlist management, and personalized recommendations through conversational AI. It provides comprehensive tools for searching tracks, managing liked songs, and analyzing listening habits.

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

drand-mcp-server is a service that provides verifiable random numbers for model-driven processes in AI applications, supporting the acquisition of random numbers by time or round.

A comprehensive Model Context Protocol service providing zodiac information queries, horoscope analysis, and compatibility testing between star signs.

Analyze listening patterns, create custom playlists, discover missing albums, validate radio streams, and provide personalized recommendations through natural language.