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Browse, edit, audition, profile, and build Wwise projects with AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SK Wwise MCP" yet — see the docs or source repo.
Connect to my Wwise project, scan all Events and Buses that do not follow naming conventions, suggest renames using the pattern "character_action_variant", and generate an executable change plan.
A list of naming issues, recommended new names, and a batch update plan that can be applied to the Wwise project.
Browse the current Wwise project's Actor-Mixer Hierarchy and Bus structure, identify possible hierarchy issues, duplicate objects, and abnormal volume nodes, and suggest audition checks for key events.
A structural diagnostic report highlighting risky nodes, plus prioritized objects to audition and the reasons why.
Use the Wwise Authoring API to analyze this project's performance bottlenecks, focusing on voice count, bus load, and suspicious events, then generate optimization recommendations and run a pre-build check followed by a project build.
Performance analysis results, actionable optimization recommendations, pre-build check findings, and the final build status.
Control Wwise with natural language for audits, edits, event creation, and checks.
Compile and serve skill definitions to AI agents via MCP.
Generate structured SKILL.md files on demand using a nine-phase skill guide.
Enable AI to transcribe audio, detect languages, and extract metadata.
Connect AI to Wisdom Network for knowledge, trust, and content transformation.
Configure, run, debug, and analyze SWMF space weather modeling workflows.