minimax-coding-plan-mcp 0.0.1

Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users

Specialized MiniMax Model Context Protocol (MCP) server designed for coding-plan users, featuring AI-powered search and vision analysis APIs optimized for code development workflows. Unlike the standard MiniMax-MCP, this version provides coding-specific tools (for examples: coding_plan_search and coding_plan_vlm) that integrate seamlessly with MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents and others to enhance your coding experience.

Documentation

• 中文文档

Quickstart with MCP Client

1. Get your API key from MiniMax.
2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh or see the uv repo for additional install methods.
3. Important: The API host and key vary by region and must match; otherwise, you'll encounter an Invalid API key error.

Region	Global	Mainland
MINIMAX_API_KEY	go get from MiniMax Global	go get from MiniMax
MINIMAX_API_HOST	https://api.minimax.io	https://api.minimaxi.com

Claude Desktop

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

{
  "mcpServers": {
    "MiniMax": {
      "command": "uvx",
      "args": [
        "minimax-coding-plan-mcp",
        "-y"
      ],
      "env": {
        "MINIMAX_API_KEY": "insert-your-api-key-here",
        "MINIMAX_MCP_BASE_PATH": "local-output-dir-path, such as /User/xxx/Desktop",
        "MINIMAX_API_HOST": "api host, https://api.minimax.io | https://api.minimaxi.com",
        "MINIMAX_API_RESOURCE_MODE": "optional, [url|local], url is default, audio/image/video are downloaded locally or provided in URL format"
      }
    }
  }
}

⚠️ Warning: The API key needs to match the host. If an error "API Error: invalid api key" occurs, please check your api host:

• Global Host：https://api.minimax.io
• Mainland Host：https://api.minimaxi.com

If you're using Windows, you will have to enable "Developer Mode" in Claude Desktop to use the MCP server. Click "Help" in the hamburger menu in the top left and select "Enable Developer Mode".

Cursor

Go to Cursor -> Preferences -> Cursor Settings -> MCP -> Add new global MCP Server to add above config.

That's it. Your MCP client can now interact with MiniMax through these tools:

Transport

We support two transport types: stdio and sse.

stdio	SSE
Run locally	Can be deployed locally or in the cloud
Communication through stdout	Communication through network
Input: Supports processing local files or valid URL resources	Input: When deployed in the cloud, it is recommended to use URL for input

Available Tools

tool	description
coding_plan_search	Performs web searches and returns organic search results along with related search queries
coding_plan_vlm	Analyzes images with AI based on text prompts, extracts information and answers questions about images

Release Notes

November 20, 2025

🆕 What's New

• Web Search: New coding_plan_search tool - perform web searches and get organic results with related search queries
• Vision Language Model: New coding_plan_vlm tool - analyze images using AI based on text prompts

📈 Features

• coding_plan_search - Search the web and get structured results including titles, links, snippets, and related searches
• coding_plan_vlm - Analyze images from URLs or local files, supporting JPEG, PNG, GIF, and WebP formats

FAQ

1. invalid api key

Please ensure your API key and API host are regionally aligned

Region	Global	Mainland
MINIMAX_API_KEY	go get from MiniMax Global	go get from MiniMax
MINIMAX_API_HOST	https://api.minimax.io	https://api.minimaxi.com

2. spawn uvx ENOENT

Please confirm its absolute path by running this command in your terminal:

which uvx

Once you obtain the absolute path (e.g., /usr/local/bin/uvx), update your configuration to use that path (e.g., "command": "/usr/local/bin/uvx").

Example usage

⚠️ Warning: Using these tools may incur costs.

1. Web Search

Use the coding_plan_search tool to search for information on the web:

2. Image Analysis

Use the coding_plan_vlm tool to analyze images with AI: