Overview
What is MiniMax
MiniMax-MCP is the official server for the MiniMax Model Context Protocol, designed to facilitate interactions with advanced Text to Speech and video generation APIs.
How to Use
To use MiniMax-MCP, developers can integrate the provided APIs into their applications, allowing for seamless text-to-speech conversion and video generation functionalities.
Key Features
Key features of MiniMax-MCP include high-quality text-to-speech synthesis, efficient video generation capabilities, and a user-friendly API for easy integration.
Where to Use
MiniMax-MCP can be utilized in various fields such as education, entertainment, content creation, and accessibility solutions for individuals with disabilities.
Use Cases
Use cases for MiniMax-MCP include creating educational videos, generating voiceovers for multimedia projects, developing interactive learning tools, and enhancing accessibility in digital content.
Installation
Generate your exclusive SSE URL:
MCP Server Configuration (for all clients):
Installation in Cursor
1. Click on the Cursor settings icon in the top right, find the 'MCP' option in the left menu;
2. Click the '+ Add' button in the top right of that page, which will automatically open the mcp.json configuration file.
3. Paste the MCP configuration into the file and save it (no need to delete existing content).
4. The MCP settings interface will show a green dot when the configuration is correct.
Note: If the green status is not displayed, please try restarting Cursor.
Installation in Claude
1. Open 'Settings' in the top left corner of the Claude page, go to 'Developer', and click 'Edit Config' to locate the claude_desktop_config.json configuration file;
2. Paste the MCP configuration into the file and save it (insert in the appropriate position, without deleting existing content).
After completion, restart Claude, and you can use MCP functions through the Claude dialog
SDK
Installation in Python
Install composio-toolset by running the following commands in your terminal:
pip install composio_openaiPython example code:
from composio_openai import ComposioToolSet, App
from openai import OpenAI
openai_client = OpenAI()
composio_toolset = ComposioToolSet(entity_id="default")
tools = composio_toolset.get_tools(apps=[App.GITHUB])Installation in TypeScript
Install composio-core by running the following commands in your terminal:
npm install -g composio_coreTypeScript example code:
import { OpenAI } from "openai";
import { OpenAIToolSet } from "composio-core";
const openaiClient = new OpenAI();
const composioToolset = new OpenAIToolSet();
const tools = await composioToolset.getTools({
apps: ["github"],
});Content
Tool List
text_to_audio
list_voices
voice_clone
play_audio
generate_video
query_video_generation
text_to_image
MarkItDown
Github MCP
Skyvern
Blender
Playwright
Cloudfare
Browserbase
servers
anything-llm
