by PsychArch
MCP server with Minimax API integration for AI-powered image generation and text-to-speech functionality. Requires a Minimax API key and Minimax Group ID configured via environment variables.
Repository-wide counts · Cached 2025-10-28
The Minimax MCP Tools MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.
Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.
Open the Minimax MCP Tools repository to read the latest documentation.
Compare source, connection, and authentication details before choosing an implementation.
View the complete category
AntV
A Model Context Protocol server for generating charts using AntV. This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools.
mcpblender
Ableton Live integration through the Model Context Protocol. No external data files required. Telemetry can be disabled via environment variable ABLETON_MCP_DISABLE_TELEMETRY.
Build-time snapshot · Retrieved 2026-10-05
A Model Context Protocol (MCP) server for Minimax AI integration, providing async image generation and text-to-speech with advanced rate limiting and error handling.
English | 简体中文
Add to your MCP settings:
{
"mcpServers": {
"minimax-mcp-tools": {
"command": "npx",
"args": ["minimax-mcp-tools"],
"env": {
"MINIMAX_API_KEY": "your_api_key_here"
}
}
}
}
This MCP server uses an asynchronous submit-and-barrier pattern designed for batch content creation:
🎬 Narrated Slideshow Production - Generate dozens of slide images and corresponding narration in parallel
📚 AI-Driven Audiobook Creation - Produce chapters with multiple voice characters simultaneously
🖼️ Website Asset Generation - Create consistent visual content and audio elements for web projects
🎯 Multimedia Content Pipelines - Perfect for LLM-driven content workflows requiring both visuals and audio
task_barrier waits for all tasks and returns comprehensive resultssubmit_image_generationSubmit Image Generation Task - Generate images asynchronously.
Required: prompt, outputFile
Optional: aspectRatio, customSize, seed, subjectReference, style
submit_speech_generationSubmit Speech Generation Task - Convert text to speech asynchronously.
Required: text, outputFile
Optional: highQuality, voiceId, speed, volume, pitch, emotion, format, sampleRate, bitrate, languageBoost, intensity, timbre, sound_effects
task_barrierWait for Task Completion - Wait for ALL submitted tasks to complete and retrieve results. Essential for batch processing.
sequenceDiagram
participant User
participant MCP as MCP Server
participant TM as Task Manager
participant API as Minimax API
Note over User, API: Async Submit-and-Barrier Pattern
User->>MCP: submit_image_generation(prompt1)
MCP->>TM: submitImageTask()
TM-->>MCP: taskId: img-001
MCP-->>User: "Task img-001 submitted"
par Background Execution (Rate Limited)
TM->>API: POST /image/generate
API-->>TM: image data + save file
end
User->>MCP: submit_speech_generation(text1)
MCP->>TM: submitTTSTask()
TM-->>MCP: taskId: tts-002
MCP-->>User: "Task tts-002 submitted"
par Background Execution (Rate Limited)
TM->>API: POST /speech/generate
API-->>TM: audio data + save file
end
User->>MCP: submit_image_generation(prompt2)
MCP->>TM: submitImageTask()
TM-->>MCP: taskId: img-003
MCP-->>User: "Task img-003 submitted"
par Background Execution (Rate Limited)
TM->>API: POST /image/generate (queued)
API-->>TM: image data + save file
end
User->>MCP: task_barrier()
MCP->>TM: barrier()
TM->>TM: wait for all tasks
TM-->>MCP: results summary
MCP-->>User: ✅ All tasks completed<br/>Files available at specified paths
Note over User, API: Immediate Task Submission + Background Rate-Limited Execution
MIT