"A media server platform for organizing and streaming content" matching MCP servers:

Provides real-time screen capture streaming in base64 format via WebSocket connections, enabling Claude to view and analyze user screens through natural language requests.

An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.

An MCP server for AI-powered media generation using Google Gemini, enabling creation of images, videos, music, and speech directly from AI agents.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

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

A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

Enables users to generate AI-powered music videos by analyzing visual content to compose matching soundtracks using Google's Lyria model. The server automatically merges audio and media into playable video artifacts that can be rendered inline within MCP-compatible chatbots.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

Enables users to manage Sonarr and Radarr instances through natural language, allowing search, addition, deletion, and monitoring of TV series and movies.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Local image processing MCP server providing background removal, stock media search, resize, format conversion, and collage creation.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

Enables local discovery of research topics, interviews users to uncover their unique perspective, and turns insights into content ideas and short-form Reel scripts.

MCP server for publishing posts and retrieving metrics on social platforms like Telegram, with planned support for YouTube and Instagram.

Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.