LiquidSoap MCP Server

Version-accurate Liquidsoap scripting using the official 2.4.0 docs.

LLMs get Liquidsoap wrong a lot. Mixing 1.x docs, outdated blog posts, and half-remembered API examples.

This MCP server fixes that.

It gives your AI assistant (Claude, ChatGPT, Cursor, Windsurf, etc.) real Liquidsoap 2.4.0 documentation, examples, and API references, making it finally possible to:

• Understand .liq scripts
• Generate correct 2.4.0 code
• Fix errors and deprecated usage
• Explore operators, functions, transitions, and patterns
• Build web radio pipelines with confidence

No hallucinations. No version drift. No mystery errors.

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Why this exists

Liquidsoap is incredibly powerful, but:

• Documentation varies heavily between versions
• 1.x and 2.x syntax differs in subtle ways
• LLMs blend outdated examples into their answers
• Even the official docs are spread across sections, pages, and changelogs

This MCP server gives your AI one job:
Stick to Liquidsoap 2.4.0 exactly.

It exposes a clean, structured API around the official docs so your assistant becomes a reliable Liquidsoap expert.

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Features

Version-Pinned Documentation (2.4.0)

• Full language reference
• Core API functions & operators
• Protocols (Icecast, HLS, HTTP, SRT, etc.)
• Encoder/decoder options
• Runtime settings

Smart Search

• Search functions/operators by name or keyword
• Search through examples, patterns, and cookbook items
• Search 2.4.0 changelog & migration notes

Script Assistance

• Detect deprecated functions (e.g. null(), insert_metadata)
• Warn about 1.x syntax
• Highlight common design pitfalls

Example Library

Ready-to-use snippets:

• Crossfading
• Fallback chains
• Harbor live input
• HLS output
• Cron scheduling (cron.add, cron.parse)
• Metadata rewriting
• LUFS normalization
• Blank detection
• Multi-output pipelines

Fast & Local

• Docs cached and indexed for instant responses
• No web requests needed once running

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Demo (example)

Ask:

• “Explain what this Liquidsoap script does.”
• “Add a fallback before the HLS output.”
• “Show the docs for crossfade.”
• “Fix deprecated functions in this script.”
• “Rewrite this using Liquidsoap 2.4.0-style null.”

Your AI responds using only the pinned 2.4.0 docs.

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Installation

Prerequisites

• Node.js ≥ 18
• Any MCP-compatible client

Install via npm (recommended)

npm install -g liquidsoap-mcp-server

Or run from source

git clone https://github.com/splinesreticulating/LiquidSoapMCP.git
cd LiquidSoapMCP
npm install
npm run build

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Usage

Claude Desktop Example

macOS:
~/Library/Application Support/Claude/claude_desktop_config.json

Windows:
%APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "liquidsoap": {
      "command": "npx",
      "args": ["-y", "liquidsoap-mcp-server"]
    }
  }
}

From source:

{
  "mcpServers": {
    "liquidsoap": {
      "command": "node",
      "args": ["/absolute/path/to/LiquidSoapMCP/build/index.js"]
    }
  }
}

Docker:

{
  "mcpServers": {
    "liquidsoap": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "liquidsoap-mcp-server"]
    }
  }
}

Build the image:

docker build -t liquidsoap-mcp-server .

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Supported Tools

Core Tools

• get_version
• list_sections
• get_documentation(section)
• search_functions(query)
• get_changelog
• get_examples(topic)
• validate_script_syntax(script)

Documentation Sections

• language
• reference
• protocols
• settings
• encoding_formats
• ffmpeg
• quickstart
• cookbook

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Roadmap

• Liquidsoap script graph visualization
• Integrate liquidsoap --check for full type validation
• Multi-version switching (2.2.x, 2.3.x, etc.)
• Fuzzy search & semantic function lookup
• “Explain this error log” tool
• Pattern/snippet library

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Contributing

PRs welcome. Especially:

• More examples
• Better search
• Doc parsing improvements
• Additional validation rules
• MCP integration templates

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Resources

• https://www.liquidsoap.info/doc-2.4.0/
• https://modelcontextprotocol.io/
• https://github.com/modelcontextprotocol/typescript-sdk

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Acknowledgments

Built for the Liquidsoap community, and for the DJs, webradio operators, self-hosters, and audio nerds who want Liquidsoap to be easier, safer, and more fun with AI assistance.

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Want to support the project?

Please star the repo!
It helps others discover it and tells me this niche was worth carving out.