MiniMax MCP Call for Openclaw

A high-performance AI agent skill providing real-time web search and advanced image analysis via the MiniMax Coding Plan API.

russellfei
v1.0.0
Feb 28, 2026
1
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install minimax-mcp-call

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install minimax-mcp-call using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MiniMax MCP Call?

The MiniMax MCP skill empowers your AI coding agent with the ability to bridge the gap between offline intelligence and real-time information. By integrating this skill from the Openclaw Skills collection, developers can enable their agents to perform live web queries and interpret complex visual data like diagrams and screenshots, all through the MiniMax Coding Plan infrastructure. This skill is essential for tasks requiring current market data, news, or visual debugging, making it a versatile addition to any automated workflow.

MiniMax MCP Call Use Cases

  • Fetching the latest technical documentation or news updates from the web during code generation.
  • Analyzing system architecture diagrams or UI screenshots for automated debugging and feedback.
  • Retrieving real-time weather, financial, or local data to inform agent decisions.
  • Enhancing the research capabilities of AI coding agents through Openclaw Skills integration.

How MiniMax MCP Call Works

  1. The AI agent identifies a requirement for external web data or visual analysis based on user prompts.
  2. The skill invokes the MiniMax MCP server through a standardized shell interface.
  3. The skill communicates with the MiniMax Coding Plan API using secure environment variables.
  4. Real-time search results or detailed image descriptions are processed and returned to the agent.
  5. The agent incorporates the live data into its response or code execution logic.

MiniMax MCP Call Setup

First, ensure you have the uv tool installed to manage the MCP server runtime:

curl -LsSf https://astral.sh/uv/install.sh | sh

Next, configure your environment variables within the Openclaw Skills directory structure. Add your MiniMax API credentials to your .env file to enable authentication:

echo 'MINIMAX_API_KEY=your-coding-plan-key' >> ~/.openclaw/.env
echo 'MINIMAX_API_HOST=https://api.minimaxi.com' >> ~/.openclaw/.env

MiniMax MCP Call Data Schema & Taxonomy

The skill interacts with the MiniMax API using standard MCP (Model Context Protocol) patterns. Data is structured as follows:

Component Type Description
web_search Function Accepts a string query; returns curated search results and snippets.
understand_image Function Accepts an image URL and a prompt; returns textual visual analysis.
MINIMAX_API_KEY Env Var Secure authentication token for the MiniMax Coding Plan.
MINIMAX_API_HOST Env Var The API endpoint for the MiniMax service interface.

MiniMax MCP Call Advanced Features

  • Multi-modal support allowing agents to switch between text-based web search and visual reasoning.
  • High-speed environment management powered by the uv runtime for low-latency tool calls.
  • Seamless interoperability with other Openclaw Skills for building complex, multi-step agent chains.
  • Support for custom MiniMax API hosts to accommodate different regional endpoints or enterprise proxies.

SKILL.md


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