MMAudio MCP
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| DEBUG | No | Enable debug mode | false |
| LOG_LEVEL | No | Log level (error, warn, info, debug) | error |
| MMAUDIO_API_KEY | Yes | Your MMAudio API key | |
| MMAUDIO_TIMEOUT | No | Request timeout in milliseconds | 60000 |
| MMAUDIO_BASE_URL | No | Base URL for MMAudio API | https://mmaudio.net |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| video_to_audioB | Generate AI-powered audio from video content using MMAudio technology. Analyzes video frames and generates synchronized audio including sound effects, ambient noise, and atmospheric elements. |
| text_to_audioB | Generate AI-powered audio content from text descriptions using MMAudio technology. Create sound effects, ambient audio, music, and atmospheric soundscapes from natural language descriptions. |
| validate_api_keyC | Validate MMAudio API key and check account credits/status |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: text_to_audio generates audio from text, video_to_audio generates audio from video, and validate_api_key handles authentication. There is no overlap in functionality, making it easy for an agent to select the right tool.
All tool names follow a consistent snake_case pattern with clear verb_noun structure (text_to_audio, video_to_audio, validate_api_key). The naming is predictable and readable throughout the set.
With only 3 tools, the server feels thin for its apparent audio generation domain. While the core functions are covered, typical MCP servers in this space might include additional tools for managing audio files, adjusting parameters, or retrieving generated content.
The toolset covers the essential operations for AI-powered audio generation from text and video, plus API validation. However, there are minor gaps such as no tools for editing, listing, or deleting generated audio, which could limit agent workflows in more complex scenarios.