Bitwig MCP Server

Overview

The Bitwig MCP Server is a bridge that lets Claude, or any other AI assistant with MCP support, interact directly with Bitwig Studio. By exposing a set of high‑level tools and resources over the Model Context Protocol, the server removes the need for manual MIDI or OSC scripting. Developers can now ask an AI to start playback, adjust track levels, tweak device parameters, or pull project metadata—all through natural language commands that are translated into precise Bitwig actions.

At its core, the server solves a common pain point for music producers and developers: integrating AI into an existing digital audio workstation workflow without writing custom plugins. Bitwig Studio already offers a rich API, but consuming it typically requires low‑level OSC or JavaScript knowledge. The Bitwig MCP Server wraps these capabilities in a clean, declarative interface: each tool (e.g., , ) is a callable function, and each resource () provides structured data that Claude can query. This abstraction allows AI assistants to reason about the DAW state, propose edits, or automate repetitive tasks while keeping the user in control.

Key features include:

• Transport Controls – start, stop, and set the tempo of a session with a single command.
• Mixer Controls – adjust volume, pan, and mute status for any track by index.
• Device Controls – set arbitrary parameter values on the currently selected device, enabling fine‑grained automation.
• Project Information – retrieve metadata about the current project, all tracks, and active devices.
• Templates & Prompts – pre‑defined workflows (e.g., ) that bundle multiple tool calls into a single intent, simplifying complex operations.

Real‑world scenarios benefit from this integration. A producer could instruct Claude to “create a drum bus with a high‑pass filter and set its volume to -6 dB” while the AI automatically configures the mixer, adds a device, and applies the parameter. A developer building an automated mixing pipeline might use to generate a set of recommendations based on the current mix state, then let Claude apply those changes in bulk. In educational contexts, students can experiment with AI‑driven tutorials that walk them through setting up a project or mastering a specific device.

The server’s design aligns with MCP best practices: tools are stateless and idempotent, resources expose read‑only data, and prompts encapsulate common sequences. This makes it easy to embed the Bitwig MCP Server into broader AI workflows—whether you’re orchestrating a multi‑tool creative assistant, building a voice‑controlled DAW controller, or integrating Bitwig into a larger composition platform. Its unique advantage lies in marrying the expressive power of an AI assistant with Bitwig’s robust production engine, enabling a new level of creative automation that feels natural and intuitive.