korx-share-mcp-server

Use Korx Share with MCP

Simple Setup · Powerful Integration · Efficient Sharing

"korx-share": {
    "command": "npx",
    "args": ["-y", "korx-share-mcp-server@latest"]
}

How to Use

Three Steps to Automatic Sharing with MCP

After configuration, AI models can automatically call Korx Share's functionality to share HTML content. In MCP-supported chat interfaces, use the following keywords to trigger the sharing feature.

Trigger Keywords

share share page generate link publish page

Example Prompts

"Share this page"

"use korx create a website and share this page"

MCP Configuration

Configure Korx Share MCP in just a few steps

Core Configuration

In MCP-supported AI applications, add the following configuration to enable Korx Share:

"korx-share": {
    "command": "npx",
    "args": ["-y", "korx-share-mcp-server@latest"]
}

Complete Configuration

If you need to add Korx Share to a complete MCP configuration file:

{
    "mcpServers": {
        "korx-share": {
            "command": "npx",
            "args": ["-y", "korx-share-mcp-server@latest"]
        }
    }
}

Usage Instructions

After configuration, AI models can automatically call Korx Share's functionality to share HTML content. In MCP-supported chat interfaces, simply ask the AI to generate HTML content and request sharing, and the system will automatically call Korx Share and return a sharing link.

Example Prompt

"Generate HTML and share this page."

What is MCP?

Model Context Protocol - The New Standard for Seamless AI Application Integration

MCP (Model Context Protocol) is a protocol standard that enables AI large models to seamlessly integrate with external services and tools. Through MCP, you can have large models directly call Korx Share's functionality to automatically share AI-generated HTML content, without the need for manual copy and paste.

Advantages of Korx Share MCP

1

Seamless Integration

AI models can call directly, eliminating the tedious copy-paste process

2

Automated Workflow

Full automation of HTML generation, optimization, and sharing increases efficiency

3

Simple Configuration

Just a few lines of configuration to use in MCP-supported AI applications