Dive

Dive AI Agent 🤿 🤖

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

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
• ☁️ OAP Cloud Integration: One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments
• 🏗️ Dual Architecture: Modern Tauri version alongside traditional Electron version for optimal performance
• 🌍 Multi-Language Support: Traditional Chinese, Simplified Chinese, English, Spanish, Japanese, Korean with more coming soon
• ⚙️ Advanced API Management: Multiple API keys and model switching support with model_settings.json
• 🛠️ Granular Tool Control: Enable/disable individual MCP tools for precise customization
• 💡 Custom Instructions: Personalized system prompts for tailored AI behavior
• 🔄 Auto-Update Mechanism: Automatically checks for and installs the latest application updates

Recent updates(2025/7/31) - v0.9.0 🎉

Major Architecture Changes

• 🏗️ Dual Architecture Support: Dive now supports both Electron and Tauri frameworks simultaneously
• ⚡ Tauri Version: New modern architecture with optimized installer size (Windows < 30MB)
• 🌐 OAP Platform Integration: Native support for OAPHub.ai cloud services with one-click MCP server deployment

New Features & Improvements

• 🔐 OAP Authentication: Comprehensive OAP login and authentication support
• 📁 Enhanced Model Configuration: Complete restructuring with model_settings.json for managing multiple models
• 🛠️ Granular MCP Control: Individual tool enable/disable functionality for better customization
• 🎨 UI/UX Enhancements: Various interface improvements across the application
• 🔄 Updated dive-mcp-host: Latest architectural improvements incorporated

Platform Availability

• Windows: Available in both Electron and Tauri versions ✅
• macOS: Currently Electron only 🔜
• Linux: Currently Electron only 🔜

Migration Note: Existing local MCP/LLM configurations remain fully supported. OAP integration is additive and does not affect current workflows.

Download and Install ⬇️

Get the latest version of Dive:

Windows users: 🪟

Choose between two architectures:

• Tauri Version (Recommended): Smaller installer (<30MB), modern architecture
• Electron Version: Traditional architecture, fully stable
• Python and Node.js environments will be downloaded automatically after launching

MacOS users: 🍎

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

Linux users: 🐧

• Electron Version: 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 Setup Options

Dive offers two ways to access MCP tools: OAP Cloud Services (recommended for beginners) and Local MCP Servers (for advanced users).

Option 1: Local MCP Servers 🛠️

For advanced users who prefer local control. The system comes with a default echo MCP Server, and you can add more powerful tools like Fetch and Youtube-dl.

Option 2: OAP Cloud Services ☁️

The easiest way to get started! Access enterprise-grade MCP tools instantly:

1. Sign up at OAPHub.ai
2. Connect to Dive using one-click deep links or configuration files
3. Enjoy managed MCP servers with zero setup - no Python, Docker, or complex dependencies required

Benefits:

• ✅ Zero configuration needed
• ✅ Cross-platform compatibility
• ✅ Enterprise-grade reliability
• ✅ Automatic updates and maintenance

Quick Local Setup

Add this JSON configuration to your Dive MCP settings to enable local 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 Streamable HTTP for Cloud MCP Services

You can connect to external cloud MCP servers via Streamable HTTP transport. Here's the Dive configuration example for SearXNG service from OAPHub:

{
  "mcpServers": {
    "SearXNG_MCP_Server": {
      "transport": "streamable",
      "url": "https://proxy.oaphub.ai/v1/mcp/181672830075666436",
      "headers": {
        "Authorization": "GLOBAL_CLIENT_TOKEN"
      }
    }
  }
}

Reference: @https://oaphub.ai/mcp/181672830075666436

Using SSE Server (Non-Local MCP)

You can also connect to external MCP servers (not local ones) via SSE (Server-Sent Events). Add this configuration to your Dive 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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• 🐛 Report issues on our Issue Tracker