Kino MCP Server

Example Use Cases

• 1

  Parse and analyze video streaming manifests for renditions, codecs, and duration.

• 2

  Perform quality checks and validate segment accessibility in streaming content.

• 3

  Fingerprint audio, auto-tag content, compare streams, or generate encoding presets.

Description

The Kino MCP server provides a suite of 8 tools designed for AI agents to interact with video streaming infrastructure. It enables parsing and validation of HLS/DASH manifests, quality checks, live stream monitoring, audio fingerprinting, content auto-tagging, stream comparison, and video encoding preset generation. This server facilitates seamless integration of AI-driven workflows for media analysis, quality control, and content management.