# Wwise-MCP

> Wwise-MCP — bilkentaudio-wwise-mcp. Use this tool when you need to automate complex audio workflows in Wwise Authoring or integrate large language models with Wwise applications. Wwise-MCP solves problems of manual workflow composition and enables MCP clients to interact with Wwise, taking in inputs from LLMs and outputting automated workflows. It is ideal for use cases requiring custom Python scripting and automation of multi-step Wwise tasks.

Canonical page: https://skillsregistry.net/skills/bilkentaudio-wwise-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bilkentaudio-wwise-mcp

## Description

Wwise-MCP is a Model Context Protocol (MCP) server that enables large language models (LLMs) to interact with the Wwise Authoring application. It exposes a set of tools built on a custom Python WAAPI library, allowing MCP clients such as Claude or Cursor to automate and compose complex, multi-step Wwise workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/BilkentAudio/Wwise-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": "bilkentaudio-wwise-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bilkentaudio-wwise-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bilkentaudio-wwise-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