# lmms-mcp

> lmms-mcp — typewolf-lmms-mcp. Use this tool when you need to programmatically create and edit music projects, enabling automation of track and note modifications, mixer control, and effects adjustments. It solves problems of manual music project editing, allowing for efficient batch processing and customization of LMMS projects. The tool accepts project data as input and outputs modified LMMS project files, ideal for use cases requiring automated music generation or editing.

Canonical page: https://skillsregistry.net/skills/typewolf-lmms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/typewolf-lmms-mcp

## Description

Enables AI agents to create, modify, and save LMMS music projects programmatically, including tracks, notes, mixer control, effects, and song settings.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pavytuerhh)
- **Repository:** <https://github.com/TypeWolf/lmms-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "typewolf-lmms-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/typewolf-lmms-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/typewolf-lmms-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt