Minimax MCP Tools
About
Async MCP server with Minimax API integration for image generation and text-to-speech
Details
- Author
- PsychArch
- GitHub stars
- 50
- Downloads
- 256
- Categories
- Productivity, Other
Jump to
- Async submit-and-barrier pattern for batch content creation
- Adaptive rate limiting (10 RPM images, 20 RPM speech) with burst capacity
- Barrier synchronization retrieves all task results at once
- Supports image generation with optional parameters (aspect ratio, custom size, seed, references, style)
- Supports text-to-speech with voice, speed, pitch, emotion, and sound effect options
- Tasks execute in background and return immediately with task IDs
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Minimax MCP ToolsCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Add the server to your MCP settings with command: "npx", args: ["minimax-mcp-tools"], and set the MINIMAX_API_KEY environment variable. Use the included tools (submit_image_generation, submit_speech_generation, task_barrier) via the MCP client to submit tasks and wait for results.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"minimax mcp tools": {
"minimax-mcp-tools": {
"command": "npx",
"args": [
"minimax-mcp-tools"
],
"env": {
"MINIMAX_API_KEY": "your_api_key_here"
}
}
}
}
}McpServers
{
"minimax-mcp-tools": {
"command": "npx",
"args": [
"minimax-mcp-tools"
],
"env": {
"MINIMAX_API_KEY": "your_api_key_here"
}
}
}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.
{ "mcpServers": { "minimax-mcp-tools": { "command": "npx", "args": ["minimax-mcp-tools"], "env": { "MINIMAX_API_KEY": "your_api_key_here" } } } }
Async Design - Perfect for Content Production at Scale
This MCP server uses anasynchronous submit-and-barrier patterndesigned forbatch 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
- Submit Phase: Tools return immediately with task IDs, tasks execute in background
- Smart Rate Limiting: Adaptive rate limiting (10 RPM images, 20 RPM speech) with burst capacity
- Barrier Synchronization:task_barrierwaits for all tasks and returns comprehensive results
- Batch Optimization: Submit multiple tasks to saturate rate limits, then barrier once for maximum throughput
Submit Image Generation Task- Generate images asynchronously.
Required:prompt,outputFile
Optional:aspectRatio,customSize,seed,subjectReference,style
Submit 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
Wait 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
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