dive
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Documentation
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: 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 with `model_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
- 🛠️ Built-in Local Tools: Pre-configured tools available out of the box - Fetch (web requests), File Manager (read/write files), and Bash (command execution)
- 🤖 MCP Server Installer Agent: Intelligent agent that helps you install and configure MCP servers automatically
- 🔔 Multiple Elicitation Support: Handle multiple MCP elicitation requests simultaneously in the UI
- 📁 @ File Path Search: Extended @ keyword in chat input to search file paths
Recent updates(2026/02/26) - v0.14.0+ 🎉
- 🛠️ Skills & Slash Commands: Support skills and more slash commands
- 🔍 Chat History Search: Support chat history search
Platform Availability
| Platform | Electron | Tauri |
|---|---|---|
| Windows | ✅ | ✅ |
| macOS | ✅ | 🔜 |
| Linux | ✅ | ✅ |
> 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: 🐧
Choose between two architectures:
- 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-sandbox` parameter
- Or modify system settings to allow sandbox
- Run `chmod +x` to make the AppImage executable
- For Arch users:
- If you are using Arch Linux, you can install dive using an AUR helper. For example: `paru -S dive-ai`
MCP Setup Options
For more detailed instructions, please see MCP Servers Setup.
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
Build 🛠️
See BUILD.md for more details.
Contributing 🤝
We welcome contributions from the community! Here's how you can help:
Development Setup
1. Fork the repository
2. Clone your fork: `git clone https://github.com/YOUR_USERNAME/Dive.git`
3. Install dependencies: `npm install`
4. Start development: `npm run dev` (Electron) or `cargo tauri dev` (Tauri)
5. Make your changes and test thoroughly
6. Submit a pull request
License 📄
Dive is open-source software licensed under the MIT License.
Connect With Us 🌐
- 💬 Join our Discord
- 🐦 Follow us on Twitter/X Reddit Thread
- ⭐ Star us on GitHub
- 🐛 Report issues on our Issue Tracker
Frequently asked questions
What is dive?
dive is Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
How do I install dive?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is dive open source?
Yes — it is hosted on GitHub at https://github.com/OpenAgentPlatform/Dive and has 1,616 stars.
Related MCP tools
🚀MCP server for accessing RedNote(XiaoHongShu, xhs). TypeScript-based implementation. Trusted by 800+ developers. Trusted by 800+ developers.
A Unified MCP Server Management App TypeScript-based implementation. Trusted by 800+ developers. Trusted by 800+ developers.
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include multi-server, dynamic model switching, streaming res...
Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling for the Model Context Protocol. Enhance AI assistants with powerf
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Ag...
Mcp-use is the easiest way to interact with mcp servers with custom agents TypeScript-based implementation. Trusted by 8100+ developers.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP