#streaming

Documentation and assembly review for @nhtio/adk.

Where can I watch X in Y? Answer that question, in your AI assistant, for 30 Asian and Middle Eastern streaming markets. Wraps ottasia.com so the same data that powers our website is one prompt away. 3 tools: where_to_watch (specific title in a country), whats_new_on (latest arrivals on Netflix / Disney+ Hotstar / Wavve / Shahid / Hoichoi / ZEE5 / Viu / 17 more), search_titles (multi-result lookup for disambiguation). No API key required for end users.

Comprehensive Korean movie and TV database with Nielsen Korea episode ratings, KOBIS box office, MyDramaList tags, JustWatch streaming, and 5 award ceremonies. 17 tools, 10 data sources.

The first artist-owned MCP server. Exposes the album The Time Is Now by independent artist Matthew Hartley as a structured, queryable catalog for any compatible AI client — Claude Desktop, Claude Code, ChatGPT, Perplexity, and more. Talk to the catalog: ask for songs, walk through the album's narrative chapters, get artist context, or stream music directly through your AI client.

The first artist MCP server. Lets AI agents (Claude, ChatGPT, etc.) discover, narrate, and stream Matthew Hartley's "The Time Is Now: A Journey in Chapters" — a continuous, multi-chapter listening experience spanning twelve songs from 1999 through 2026. Each song has emotional narrative, lyrics, story context, version recordings, and direct streaming links (Spotify, Apple Music, YouTube, SoundCloud). Each chapter has a numeral, year range, mood tags, and a banner image. The get_experience tool returns a fully curated, sequenced playlist for a listening mode — late_night, devotional, acoustic_focus, cinematic, quiet_listening, or full_journey — so an agent can build an immersive music+narration session in a single call. Per-song streaming is gated by release status; per-chapter narrative is gated by release. Powered by HarmonicWave — the platform for AI-native music experiences.

Cloud streaming for AI agents — isolated browser environments that render and broadcast your content to Twitch, Kick, Restream, and custom RTMP.

Data visualization library for streaming and static charts that exposes traditional charts but also maps and networks.

Real-time subscription pricing data for 50+ services. Get accurate prices, find cheaper alternatives, compare services, and track price history. Built for AI agents that need to answer "How much does X cost?" without hallucinating. Covers streaming, music, news, productivity, gaming, VPN, fitness, and more across Australia (US/UK expansion planned)

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

A Model Context Protocol (MCP) server that creates a bridge between AI language models and the Trakt.tv API, allowing LLMs to access real-time entertainment data and personal Trakt viewing history. Built with a domain-focused architecture using FastMCP, providing clean separation of concerns across authentication, shows, movies, user data, comments, search, and check-in functionality.

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

The Dacast MCP (Model Context Protocol) Server integrates Dacast’s comprehensive video streaming and hosting platform with your AI-powered applications. Once configured, you can upload and manage video content, control live streams, review analytics, and access nearly all of Dacast’s broadcasting infrastructure through natural-language prompts in supported AI clients.

MCP server for controlling Sonos speakers and playing audio streams.

An MCP server that executes SQL via ConnectorX and streams the result to a CSV or Parquet file. Supports PostgreSQL, MariaDB, BigQuery, RedShift, MS SQL Server, etc.

Enable AI agents to interact with Twitch streams by sending chat messages, managing polls and predictions, creating clips, analyzing chat activity, and moderating users. Automate stream title and category updates while leveraging intelligent user resolution and timeout duration suggestions for effective moderation. Simplify Twitch stream management and enhance viewer engagement through standardized AI tools.

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

This Node.js/TypeScript based multi-protocol camera control service strictly follows the Model Context Protocol (MCP) TypeScript SDK and supports: Camera enumeration, photo capture, video recording (file/streaming) MCP tool interfaces (listCameras, takePhoto, startVideo, stopVideo) Multiple transport modes: stdio, HTTP, SSE Windows (dshow) and Linux (v4l2) support Concurrent video recording/streaming with multiple instances Customizable environment variables and logging Video streaming with streamUrl support for clients (httpx/curl/ffmpeg/ffplay)

Uses Claude or OpenAI API to convert prompt-mapped input into concrete MCP server components such as tools, resource templates, and prompt handlers.

Implement SSE to stream agent responses/updates involving the GitHub MCP server