MiniMax-MCP-JS: Official MiniMax Model Context Protocol JavaScript implementation that provides seamless integration

by MiniMax-AI · MCP Server · ★ 127

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install MiniMax-MCP-JS

npx -y @smithery/cli install @MiniMax-AI/MiniMax-MCP-JS --client claude
pnpm add minimax-mcp-js

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

image-generationmcpmcp-servermcp-toolsminimaxtext-to-speechvideo-generation

Quick Facts

Stars127
Forks40
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues12
Last Updated2026-08-21
Created2025-04-15
Platformsmcp, node
Est. Tokens~13k

About MiniMax-MCP-JS

MiniMax MCP JS JavaScript/TypeScript implementation of MiniMax MCP, providing image generation, video generation, text-to-speech, and more. <img alt="Homepage"...

Compatible Skills

These tools work well together with MiniMax-MCP-JS for enhanced workflows:

  • sdk — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • Sora-FullStack — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • awesome-grok-imagine-prompts — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • wonda — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)

MiniMax-MCP-JS alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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