Minimax Mcp
Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
by MiniMax-AI · MiniMax-AI/MiniMax-MCP
Install
See GitHub repository for installation instructions.
How to use Minimax Mcp with Claude
Minimax Mcp is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to media capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.
Setup
- Clone or install from the GitHub repository
- Follow the README for environment setup and credentials
- Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
- Restart your client — Minimax Mcp will appear in the available tools list
About Minimax Mcp
Minimax Mcp is an open-source MCP server in the Media category, built in Python. It connects Claude and other MCP-compatible clients to media systems directly. Source available on GitHub.
Use cases for Media MCP servers
- →Process, convert, and summarize media files via AI
- →Automate media tagging and metadata extraction
- →Connect AI agents to CDN and media management systems
- →Generate captions and transcripts automatically
Where Minimax Mcp fits in an MCP workflow
Teams use Minimax Mcp to give Claude a direct bridge into media workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.
Minimax Mcp can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to media systems.
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