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# Dive AI Agent 🤿 🤖
[](https://discord.com/invite/qceMERf4y2)
[](https://twitter.com/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
- 🌍 **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
## Recent updates(2025/3/14)
- 🌍 **Spanish Translation**: Added Spanish language support
- 🤖 **Extended Model Support**: Added Google Gemini and Mistral AI models integration
## Download and Install ⬇️
Get the latest version of Dive:
[](https://github.com/OpenAgentPlatform/Dive/releases/latest)
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 Dive MCP settings to enable both tools:
```json
"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 Dive MCP settings:
```json
{
"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
```bash
winget install yt-dlp
```
#### MacOS
```bash
brew install yt-dlp
```
#### Linux
```bash
pip install yt-dlp
```
## Build 🛠️
See [BUILD.md](BUILD.md) for more details.
## Connect With Us 🌐
- 💬 Join our [Discord](https://discord.com/invite/qceMERf4y2)
- 🐦 Follow us on [Twitter/X](https://x.com/Dive_ai_agent)
- ⭐ Star us on GitHub
- 🐛 Report issues on our [Issue Tracker](https://github.com/OpenAgentPlatform/Dive/issues)
