Mcaster1 TagStack
ICY 2.0 Metadata Manager - Advanced Metadata Composition with Real-Time Preview
What is Mcaster1 TagStack?
Mcaster1 TagStack is a standalone desktop application for composing, managing, and previewing ICY 2.0 protocol metadata in real-time. Designed for broadcasters, podcasters, and content creators, TagStack makes it easy to create rich, engaging metadata with hashtags, emoji indicators, social media links, and custom fields that enhance listener engagement across all platforms.
Hashtag Composer
Create trending hashtags for your content with auto-suggestions, analytics, and platform-specific optimization for Twitter, Instagram, and TikTok discovery.
Emoji Indicators
Visual emoji indicators for mood, genre, and content type. Built-in emoji picker with categorization and recent usage tracking for quick access.
Social Media Headers
Automatic social media link formatting for Twitter, Twitch, YouTube, Instagram, TikTok, OnlyFans, and Patreon. QR code generation for mobile discovery.
Real-Time Preview
See exactly how your metadata will appear on different platforms and media players before publishing. Live character count and field validation.
Podcast Show Manager
Create and manage podcast shows with episode metadata, show notes, guest information, and chapter markers. Generate RSS feeds automatically.
Playlist Generation
Build playlists for Mcaster1Encoder with drag-and-drop interface, smart shuffle, crossfade settings, and automated rotation schedules.
Promo & Callout Manager
Schedule in-stream promos, shoutouts, and sponsored content. Define trigger points, duration, and frequency for automated insertion via Mcaster1Encoder.
Analytics Integration
Track hashtag performance, social media engagement, and listener demographics. Export reports for sponsors and platform monetization requirements.
Live Sync
Real-time synchronization with Mcaster1DNAS server. Update metadata on-the-fly during live broadcasts without interrupting the stream.
How It Works
TagStack integrates seamlessly into your content creation workflow
Compose Metadata
Use the visual editor to create rich ICY 2.0 metadata with hashtags, emojis, and social links
Preview & Validate
See real-time preview across platforms and validate ICY 2.0 protocol compliance
Generate Playlists
Build podcast shows and playlists for automated streaming with Mcaster1Encoder
Publish to Server
Send metadata and playlists to your Mcaster1DNAS server with one click
ICY 2.0 Protocol Compliance
TagStack supports all 29+ fields defined in the ICY-META v2.1+ protocol specification, ensuring maximum compatibility with Mcaster1DNAS servers and modern media players.
Core Metadata
- StreamTitle
- StreamArtist
- StreamAlbum
- StreamGenre
- StreamURL
Podcast Fields
- PodcastTitle
- PodcastEpisode
- PodcastSeason
- PodcastGuests
- PodcastTopics
Social Media
- SocialTwitter
- SocialTwitch
- SocialYouTube
- SocialInstagram
- ContentHashtags
- EmojiIndicators
Influencer & Monetization Tools
Built-in tools for content creators and influencers to monetize their streams and engage with their audience across multiple platforms.
Merchandise Links
Embed direct links to your branded merchandise, print-on-demand stores, and e-commerce platforms in your stream metadata.
Subscription Platforms
Integration with OnlyFans, Patreon, Ko-fi, and other subscription services. Auto-update supporter shoutouts and tier-based benefits.
Sponsor Management
Track sponsor agreements, schedule sponsored content, and generate compliance reports for advertising partners and affiliate networks.
Ecosystem Integration
TagStack is the metadata hub connecting Mcaster1Encoder and Mcaster1DNAS with your audience.
Join the Beta Program
Mcaster1 TagStack is currently in beta development. We're looking for broadcasters, podcasters, and content creators to test the application and provide feedback. Sign up for early access and help shape the future of metadata management.
System Requirements (Beta)
Windows
- Windows 10/11 (64-bit)
- 4GB RAM minimum
- .NET Framework 4.8+
macOS
- macOS 11 Big Sur or later
- 4GB RAM minimum
- Apple Silicon or Intel
Linux
- Ubuntu 20.04+ / Fedora 35+
- 4GB RAM minimum
- GTK 3.0+ / Qt 5.15+