MiniMax
MiniMax MCP is a server implementation that provides AI assistants with access to MiniMax's text-to-speech, voice cloning, and video generation capabilities. Developed by Roy Wu at MiniMax, this Python-based server handles authentication with the MiniMax API, manages file operations, and provides tools for audio playback and file conversion. The implementation includes robust error handling, fuzzy filename matching, and environment variable configuration, making it particularly useful for applications requiring high-quality voice synthesis and media generation from AI interactions.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/minimax-ai/minimax-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve MiniMax from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.