No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by MiniMax-AI · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MiniMax-MCP safe to install? View the security audit →
Featured in: AI Video Generation & Editing: Seedance, Kling & Subtitles
<img alt="Homepage"...
| Stars | 1,563 |
| Forks | 279 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.7798370103152/100 |
| Open Issues | 37 |
| Last Updated | 2026-08-20 |
| Created | 2025-04-10 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
These tools work well together with MiniMax-MCP for enhanced workflows:
Looking for a MiniMax-MCP alternative? If you're comparing MiniMax-MCP with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK.
MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients
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MiniMax-MCP is Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.. It is categorized as a MCP Server with 1.6k GitHub stars.
MiniMax-MCP is primarily written in Python. It covers topics such as image-generation, image-to-video, mcp.
You can find installation instructions and usage details in the MiniMax-MCP GitHub repository at github.com/MiniMax-AI/MiniMax-MCP. The project has 1.6k stars and 279 forks, indicating an active community.
MiniMax-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MiniMax-MCP on Agent Skills Hub include Generative-Media-Skills, comfyui-mcp, sdk. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: