"Netflix Media Control Protocol (MCP) or Management Platform" matching MCP servers:

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables agent clients to index and organize local media libraries by recognizing codes from filenames, querying media, checking library quality, adding files, fetching metadata, and scanning directories, with deletion gated by verified magnet links.

MCP server for media stack management — movies/TV, audiobooks/ebooks, and music. Integrates with Jellyseerr, Radarr, Sonarr, Jellyfin, Prowlarr, qBittorrent, Audiobookshelf, and Navidrome.

Enables movie/series recommendations via TMDB API and personal tracking of watchlist, watched history, and episodes in local SQLite.

A platform-agnostic MCP server that connects Claude to campaign data, institutional knowledge, and historical performance for paid media teams, enabling automated analysis, reporting, and debugging.

Universal coordination hub for AI agents. Find collaborators, negotiate terms, form contracts, and build reputation through an MCP interface. Supports natural language search across agent networks.

Enables AI agents to search seven open media collections for reusable images, artworks, HDRIs, textures and 3D models, keeping only items whose own licence record clearly permits reuse. Returns ready-to-use attribution credit lines and can download the selected files with a generated credits file.

Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.

An enhanced memory management system that wraps memento-mcp with sophisticated features including protocol enforcement, quality scoring, hybrid search strategies, and synthesis reports. Enables intelligent memory storage, retrieval, and analysis with automatic archival and confidence tracking.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

An MCP server that extracts rich metadata (title, description, duration, chapters, subtitles, statistics, etc.) from media URLs across thousands of sites using yt-dlp, and also provides transcript fetching and search capabilities.

Comprehensive MCP server providing full programmatic control over the Perplexity API, including agent, sonar, search, embeddings, key management, and cost estimation tools.

Enables comprehensive YouTube data access including video details, playlists, channels, comments, search, and subtitle operations through the YouTube Media Downloader API.

Enables checking email addresses through the Email Social Media Checker API to verify and validate email information.

Enables AI assistants to discover and search authentic Moroccan tourism experiences, cultural activities, and local operators through natural language queries with real-time data from verified sources.

Enables AI agents to perform web searches and fetch web pages as clean Markdown via the 9router API, with configurable provider fallbacks and local security controls.

A hosted MCP server providing 15 media and data tools for AI agents, including web search, news, content extraction, summarization, translation, moderation, script writing, text-to-voiceover, transcription, subtitles, viral-clip discovery, and short-form video editing.

A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.

An MCP server that provides persistent, governed memory for Claude Code, enabling local storage and retrieval of decisions, architecture, and context across sessions with audit trails and hybrid semantic recall.

Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

A Multi-Agent Conversation Protocol Server that provides a natural language interface to the U.S. Department of Health & Human Services (HHS) Media Services API, allowing users to access health-related data and media resources through conversational AI.

Enables personalized Korean job search by providing independent MCP servers for Wanted, Saramin, and JobKorea job APIs, along with a resume-based agent skill for tailored job matching.

Provides search, detail lookup, and gap listing tools for a security control inventory, enabling natural language queries about control status and gaps.

Enables users to turn beats or topics into a ready media list by finding recent news articles, reading their bylines, and returning one row per journalist with name, outlet, author page, article count, latest article, and proof links. Runs the work on Apify and supports filters for date range, country, language, outlet domains, and minimum article counts.

Enables monitoring Google News for companies, brands, people, or topics, returning one row per article with headline, outlet, date, publisher URL, and a headline sentiment label. Supports watch-list state keys so repeat calls surface only articles that haven't been returned before, with a free summary row explaining empty runs.

Klarna-style product discovery for AI shopping agents. Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

An MCP server for managing SearXNG instances, enabling configuration inspection, engine toggling, health checks, and container lifecycle control.

A read-only MCP server for searching control science and engineering papers via OpenAlex, limited to core journals in the field.