About
WigAI is a Model Context Protocol server embedded as a Bitwig Studio extension, enabling external AI assistants to start/stop playback, control device parameters, and launch clips or scenes through simple text commands.
Capabilities
WigAI – A Model Context Protocol Extension for Bitwig Studio
WigAI is a lightweight MCP server built as an extension for Bitwig Studio. It bridges the gap between AI assistants and a digital audio workstation (DAW) by exposing Bitwig’s core functions—transport, device parameters, and clip/scene launching—to external agents through a simple text‑based protocol. The server listens on , allowing any MCP‑compatible assistant (e.g., IDE copilots, chatbots, or custom scripts) to send high‑level commands such as “start playback” or “set filter cutoff to 1200 Hz.” This removes the need for manual MIDI mapping or scripting inside Bitwig, enabling a truly hands‑free workflow.
The core value of WigAI lies in its human‑centric control model. Musicians and producers can describe actions in natural language, while the AI translates them into precise DAW operations. For example, a user could ask an assistant to “create a new synth track and set the arpeggiator to 4‑step up,” and WigAI will instantiate the track, load a default synth device, and configure its arpeggiator—all with a single textual command. Because the server is implemented as an extension, it inherits Bitwig’s robust plugin architecture and can be activated or deactivated without restarting the DAW.
Key capabilities include:
- Transport control – start, stop, and loop playback with simple verbs.
- Device parameter manipulation – target any selected device’s knobs, sliders, or envelopes by name or index.
- Clip and scene launching – trigger specific clips or entire scenes in a session grid.
- Session state queries – request information about tracks, devices, or current playback position.
These features make WigAI ideal for live performance automation, remote collaboration, and streamlined production pipelines. A live performer could use a voice‑activated assistant to trigger backing tracks or adjust effects on the fly, while a producer could script complex build‑up sequences in a text editor and push them to Bitwig via the MCP interface.
Integration is straightforward: once the extension is activated, any AI workflow that supports MCP can connect to the local endpoint. The server responds with JSON objects reflecting Bitwig’s state, allowing assistants to make informed decisions or confirm actions. Because the protocol is text‑based and stateless, it scales well across multiple assistants or even distributed systems.
In summary, WigAI turns Bitwig Studio into an AI‑friendly environment, eliminating the need for manual scripting or MIDI mapping. By exposing transport, device control, and clip launching through a clean MCP interface, it empowers developers and musicians to craft more expressive, efficient, and interactive audio production workflows.
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