Kino
Production-grade Rust video SDK -- HLS/DASH streaming, BOLA ABR, audio fingerprinting, WASM player, formal verification (TLA+). 7 crates, CLI, Python bindings, MCP server.
What is Kino?
Kino is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to production-grade rust video sdk -- hls/dash streaming, bola abr, audio fingerprinting, wasm player, formal verification (tla+). 7 crates, cli, python bindings, mcp server.
Production-grade Rust video SDK -- HLS/DASH streaming, BOLA ABR, audio fingerprinting, WASM player, formal verification (TLA+). 7 crates, CLI, Python bindings, MCP server.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Production-grade Rust video SDK -- HLS/DASH streaming, BOLA
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx kinoConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Kino
What is Kino?
Kino is a Model Context Protocol (MCP) server that production-grade rust video sdk -- hls/dash streaming, bola abr, audio fingerprinting, wasm player, formal verification (tla+). 7 crates, cli, python bindings, mcp server. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Kino?
Follow the installation instructions on the Kino GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Kino?
Kino works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Kino free to use?
Yes, Kino is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Kino in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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