MiniMax-MCP and MiniMax-Coding-Plan-MCP

These are ecosystem siblings where the general-purpose MCP server (A) provides foundational multimodal APIs (text-to-speech, image/video generation) while the specialized variant (B) layers domain-specific coding capabilities (AI search, vision analysis for code) on top of the same MiniMax MCP framework.

MiniMax-MCP
53
Established
Maintenance 10/25
Adoption 10/25
Maturity 9/25
Community 24/25
Maintenance 10/25
Adoption 7/25
Maturity 9/25
Community 18/25
Stars: 1,304
Forks: 233
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 35
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About MiniMax-MCP

MiniMax-AI/MiniMax-MCP

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Implements MCP as a stdio-based server with dual regional API endpoints (Global/Mainland China), enabling seamless integration with Claude Desktop, Cursor, and other AI assistants for voice cloning, speech synthesis, and generative media creation. Supports both local file processing and URL-based resource inputs, with configurable output modes (URL delivery or local download) for audio, image, and video artifacts. Built on MiniMax's production APIs with region-aware authentication to prevent API key mismatches across geographic deployments.

About MiniMax-Coding-Plan-MCP

MiniMax-AI/MiniMax-Coding-Plan-MCP

Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users, featuring AI-powered search and vision analysis APIs optimized for code development workflows

Implements a dual-transport architecture supporting both stdio for local execution and SSE for cloud deployment, with tools for web search and image understanding that process local files or URLs. Integrates directly with MCP-compatible clients (Claude Desktop, Cursor, Windsurf, OpenAI Agents) by exposing coding-specific APIs through environment-based configuration. Handles multi-region API endpoints with region-matched authentication to support both global and mainland deployment environments.

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