A
licenseNot graded
qualityB
maintenanceEnables users to generate speech, music, cloned voices, lyrics, and separated vocal/instrumental stems through 50+ audio model APIs from providers such as MiniMax, Suno, Mureka, Doubao, and Qwen TTS.
MIT
MMAudio MCP
Officialby mmaudio
Related Servers
Alternatives to MMAudio MCP
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceProvides AI-powered audio generation and processing through the MusicGPT API, enabling music creation, voice conversion, audio manipulation, stem extraction, and audio analysis capabilities.2410 npm2MIT
- AlicenseAqualityCmaintenanceEnables MCP clients to generate AI video clips with sound from a text prompt or a photo, poll run status to retrieve the finished video URL, and check remaining account credits. Runs on the user's own Movoa account with an API key.3395 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone or design voices, and manage media outputs through MiniMax APIs. It supports dynamic configuration and multiple transport modes for local or hosted integration.493 npmMIT
- AlicenseAqualityCmaintenanceEnables AI-powered sound effects generation, audio extension, inpainting, and account management through the Mirelo API, accessible via natural language in MCP-compatible clients.2123 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through integrated AI APIs.493 npmMIT
TDQS
B3.4/5.0
Scored across 3 tools
Disambiguation5/5
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.
Naming Consistency5/5
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.
Tool Count3/5
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.
Completeness4/5
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.