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MiniMax-MCP

MiniMax-AI/MiniMax-MCP

Official MiniMax Model Context Protocol (MCP) server enabling interactions with text-to-speech, image generation, and video generation APIs.

GraphCanon updated 3w · GitHub synced 3w

1.5k stars272 forksLast push 3mo Python MIT

Decision brief

MiniMax-MCP: official server for MiniMax's media generation APIs

Good fit when

  • When you need text-to-speech, image generation, or video creation features from MiniMax directly integrated into your applications.
  • If your project requires voice-cloning capabilities within text-to-speech functionalities.

Avoid when

  • If the APIs do not support your target media resolution requirements for images and videos.
  • When you require open-source alternatives, as MiniMax-MCP uses closed protocols despite MIT licensing.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Steady (69d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
2 low (2 low)
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for MiniMax. Display-only - separate from trust and ranking.

Company
MiniMax·GitHub org profile·1mo
Commercial model
Pure OSS·GitHub org profile (public repos)·1mo

Install

pip install MiniMax-MCP
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This repository hosts the official MiniMax Model Context Protocol (MCP) server designed for interacting with various media generation APIs including text-to-spech, image generation, and video creation functionalities.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Jul 30, 2026

Languages
python

Source: github.language+pyproject.toml · Jul 30, 2026

Categories

Graph entities

Tags

README

For agents

This page has a .md twin and JSON over the API.

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