Pin Wen
Description
# Dive AI Agent 🤿 🤖      
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Pin WenCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Download the latest release for your operating system (Windows .exe, macOS .dmg, Linux .AppImage). After installation, configure MCP servers via the JSON settings in the app’s UI. You can start with the built-in echo MCP server or add custom tools like fetch, filesystem, and youtubedl by pasting their JSON configuration.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"pin wen": {
"echo": {
"transport": "stdio",
"enabled": false,
"command": "node",
"args": [
"/Users/biggo2/.dive/scripts/echo.js"
],
"env": [],
"url": null,
"headers": null,
"extraData": null
}
}
}
}McpServers
{
"echo": {
"transport": "stdio",
"enabled": false,
"command": "node",
"args": [
"/Users/biggo2/.dive/scripts/echo.js"
],
"env": [],
"url": null,
"headers": null,
"extraData": null
}
}Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
- 🌐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 viaOAPHub.ai- eliminates complex local deployments
- 🏗️Dual Architecture: Modern Tauri version alongside traditional Electron version for optimal performance
- 🌍Multi-Language Support: Supports 24+ languages including English, Traditional Chinese, Simplified Chinese, Spanish, Japanese, Korean, German, French, Italian, Portuguese, Russian, Thai, Vietnamese, Filipino, Indonesian, Polish, Turkish, Ukrainian, Swedish, Norwegian, Finnish, and Lao
- ⚙️Advanced API Management: Multiple API keys and model switching support withmodel_settings.json
- 🛠️Granular Tool Control: Enable/disable individual MCP tools for precise customization
- 💡Custom Instructions: Personalized system prompts for tailored AI behavior
- ⌨️Keyboard Shortcuts: Comprehensive hotkey support for efficient navigation and operations (rename, settings, reload, new chat, etc.)
- 📝Chat Draft Saving: Automatically saves chat input drafts to prevent data loss
- 🔄Auto-Update Mechanism: Automatically checks for and installs the latest application updates
- 🔐MCP Server Authentication: Added support for MCP server authentication
⚠️Note: This feature is currently unstable and may require frequent re-authorization
- 🛠️Skills & Slash Commands: Support skills and more slash commands
- 🔍Chat History Search: Support chat history search
Migration Note:Existing local MCP/LLM configurations remain fully supported. OAP integration is additive and does not affect current workflows.
- 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
- 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
- Tauri Version: Modern architecture with smaller installer size
- Electron Version(Recommended): Traditional architecture with .AppImage format
- You need to install Python and Node.js (with npx uvx) environments yourself
- For Ubuntu/Debian users:
- You may need to add--no-sandboxparameter
- Or modify system settings to allow sandbox
- Runchmod +xto make the AppImage executable
- If you are using Arch Linux, you can install dive using anAUR helper. For example:paru -S dive-ai
For more detailed instructions, please seeMCP Servers Setup.
The easiest way to get started! Access enterprise-grade MCP tools instantly:
- Sign upatOAPHub.ai
- Connectto Dive using one-click deep links or configuration files
- Enjoymanaged MCP servers with zero setup - no Python, Docker, or complex dependencies required
- ✅ Zero configuration needed
- ✅ Cross-platform compatibility
- ✅ Enterprise-grade reliability
- ✅ Automatic updates and maintenance
We welcome contributions from the community! Here's how you can help:
- Fork the repository
- Clone your fork:git clone https://github.com/YOUR_USERNAME/Dive.git
- Install dependencies:npm install
- Start development:npm run dev(Electron) orcargo tauri dev(Tauri)
- Make your changes and test thoroughly
- Submit a pull request
Dive is open-source software licensed under theMIT License.
- 💬 Join ourDiscord
- 🐦 Follow us onTwitter/XRedditThread
- ⭐ Star us on GitHub
- 🐛 Report issues on ourIssue Tracker
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