MCP-X Agent 🤿 🤖

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MCP-X is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨

Use Cases 🎯

AI Agent

MCP-X good at agent and understanding various types of content through its powerful AI agents. Here's an example of food content agent:

Key Features Demonstrated:

• 🍽️ Food Content Analysis: Detailed breakdown of dishes, ingredients, and nutritional information
• 🎯 Targeted Recommendations: Personalized suggestions based on user preferences
• 📊 Structured Output: Well-organized information with clear categorization
• 💬 Interactive Chat: Natural conversation flow with comprehensive responses

Perfect for:

• Food bloggers and content creators
• Nutritionists and health professionals
• Restaurant owners and chefs
• Anyone interested in food analysis and recommendations

This showcases how MCP-X can transform simple queries into detailed, actionable insights across various domains.

What's New

We've just rolled out two major updates to improve your experience:

🚀 Introducing the AI Agent System

MCP-X is now a full-fledged AI agent platform.

• New Agent Sidebar: Discover, manage, and search for specialized AI agents.
• One-Click Talk: Instantly talk to any agent for your current task.
• Agent Profiles: See what each agent can do, with details on their skills and example uses.
• Organized for You: Agents are sorted into categories like content creation, data analysis, and programming.

🎨 A Fresh New Look

We've redesigned the app to be cleaner and more intuitive.

• New Side Navigation: A permanent sidebar gives you quick access to Chat, Agents, Tools, Models, and System settings.
• Clearer Icons: Navigation icons now have text labels so you know exactly where you're going.
• Consistent Design: We've unified the color scheme and layout for a more polished feel.

This update also includes a move to a more professional icon set (react-icons) and various under-the-hood CSS and component optimizations for better performance.

Features 🎯

• 🌐 Universal LLM Support: Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models
• 💻 Cross-Platform: Available for Windows, MacOS, and Linux
• 🔄 Model Context Protocol: Enabling seamless MCP AI agent integration on both stdio and SSE mode
• 🌍 Multi-Language Support: Traditional Chinese, Simplified Chinese, English, Spanish with more coming soon
• ⚙️ Advanced API Management: Multiple API keys and model switching support
• 💡 Custom Instructions: Personalized system prompts for tailored AI behavior
• 🔄 Auto-Update Mechanism: Automatically checks for and installs the latest application updates

Download and Install ⬇️

Get the latest version of MCP-X:

For Windows users: 🪟

• Download the .exe version
• Python and Node.js environments are pre-installed

For MacOS users: 🍎

• Download the .dmg version
• You need to install Python and Node.js (with npx uvx) environments yourself
• Follow the installation prompts to complete setup

For Linux users: 🐧

• Download the .AppImage version
• You need to install Python and Node.js (with npx uvx) environments yourself
• For Ubuntu/Debian users:
  • You may need to add --no-sandbox parameter
  • Or modify system settings to allow sandbox
  • Run chmod +x to make the AppImage executable

MCP Tips

While the system comes with a default echo MCP Server, your LLM can access more powerful tools through MCP. Here's how to get started with two beginner-friendly tools: Fetch and Youtube-dl.

Quick Setup

Add this JSON configuration to your MCP-X MCP settings to enable both tools:

 "mcpServers":{
    "fetch": {
      "command": "uvx",
      "args": [
        "mcp-server-fetch",
        "--ignore-robots-txt"
      ],
      "enabled": true
    },
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/files"
      ],
      "enabled": true
    },
    "youtubedl": {
      "command": "npx",
      "args": [
        "@kevinwatt/yt-dlp-mcp"
      ],
      "enabled": true
    }
  }

Using SSE Server for MCP

You can also connect to an external MCP server via SSE (Server-Sent Events). Add this configuration to your MCP-X MCP settings:

{
  "mcpServers": {
    "MCP_SERVER_NAME": {
      "enabled": true,
      "transport": "sse",
      "url": "YOUR_SSE_SERVER_URL"
    }
  }
}

Additional Setup for yt-dlp-mcp

yt-dlp-mcp requires the yt-dlp package. Install it based on your operating system:

Windows

winget install yt-dlp

MacOS

brew install yt-dlp

Linux

pip install yt-dlp

Build 🛠️

See BUILD.md for more details.

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