# bitwig-gemini-mcp

> Use this tool when you need to control and monitor music production software using natural language commands. It solves problems of complex workflow navigation and parameter adjustment in Bitwig Studio, allowing for real-time control through MCP and OSC protocols. With natural language inputs and real-time studio feedback outputs, it streamlines music production workflows.

Canonical page: https://skillsregistry.net/skills/bedri-bitwig-gemini-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bedri-bitwig-gemini-mcp

## Description

Enables AI agents to control and monitor Bitwig Studio in real-time using natural language commands through MCP and OSC.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmuq33p0yg)
- **Repository:** <https://github.com/bedri/bitwig-gemini-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": "bedri-bitwig-gemini-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bedri-bitwig-gemini-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bedri-bitwig-gemini-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