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HLS / IPTV MCP Server — AI Video Streaming

Under maintenance

Try for free

MCP server for video streaming workflows. Convert videos to HLS, transcode, create thumbnail strips, check stream health, compress, trim, watermark, create GIFs, extract audio, and more — all via natural language. Powered by ffmpeg.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Kritsana

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

HLS / IPTV MCP Server

MCP server for video streaming — AI controls ffmpeg to create HLS streams, transcode, generate thumbnails, compress videos, and more.

Quick Start

pip install -e .
python -m hls_mcp_server --transport sse --port 8000

Apify Actor

$apify push

Tools

HLS Streaming

Tool	Description
`video_to_hls`	Convert video to multi-bitrate HLS (.m3u8 + .ts)
`hls_to_mp4`	Convert HLS stream back to MP4
`generate_master_playlist`	Create master playlist from variant definitions
`stream_health_check`	Check HLS stream availability and segment health

Thumbnails

Tool	Description
`create_thumbnail_strip`	Generate thumbnail sprite sheet
`extract_thumbnail`	Capture single frame at timestamp

Processing

Tool	Description
`video_metadata`	Get codec, resolution, bitrate, duration, audio tracks
`compress_video`	Compress video (CRF-based)
`trim_video`	Cut a segment
`change_resolution`	Resize/scale video
`add_watermark`	Overlay text watermark
`concat_videos`	Merge multiple videos
`create_gif`	Convert clip to animated GIF
`extract_audio`	Extract audio track (mp3/aac/wav/ogg/flac)
`live_transcode_status`	Server capabilities and encoder availability

Environment Variables

Variable	Default	Description
`MCP_TRANSPORT`	`stdio`	`stdio` or `sse`
`MCP_PORT`	`8000`	Port for SSE

Claude Desktop Config

{
  "mcpServers": {
    "hls": {
      "command": "python",
      "args": ["-m", "hls_mcp_server"],
      "env": {}
    }
  }
}

Example

User: Convert video.mp4 to HLS with 1080p, 720p, 480p variants

AI:
  → video_to_hls("video.mp4", "/output", resolutions="1080,720,480")
  ✅ Master playlist: /output/master.m3u8
     3 variants, 45 segments generated

User: Make a thumbnail strip every 10 seconds

AI:
  → create_thumbnail_strip("video.mp4", "/output/strip.jpg", interval=10)
  ✅ Thumbnails saved: /output/strip.jpg (120 KB)

Requirements

ffmpeg (auto-installed in Docker image)
Python 3.11+

License

MIT

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