Enables natural language control of Wwise audio middleware, allowing project auditing, batch editing, event creation, and reference checking through conversational interaction.
A modular suite of MCP servers for Audiokinetic Wwise, enabling AI agents to browse, edit, audition, profile, and build Wwise projects through the Wwise Authoring API.
Construct a WAAPI object query with filters for path, type, fields, traversal, and name/type constraints. Use this to build queries for retrieving Wwise objects before executing them.
Retrieve curve points for a Wwise attenuation object by specifying curve type and object path, GUID, or name. Returns distance-value pairs with segment shapes.
Audit Wwise project health with checks for no output bus, empty containers, empty sounds, events not in soundbanks, and duplicate names. Returns counts and capped list of findings.
Compare two Wwise objects to identify differing properties, references, and lists. Useful for auditing settings consistency and Paste Properties workflows.
Audit a Wwise project and auto-fix common issues: rename whitespace names, add events to default bank, set output bus. Preview with dry_run, then apply fixes.