Best for
- Developers and technical users who want a desktop interface to various LLMs and MCP tools.
- Users needing a cross-platform, customizable AI assistant environment.
- Users managing multiple MCP servers and frequently switching models.
D
Dive
Community
Open-source MCP Host Desktop App that works with any function-calling LLM.
GitHub source repository ↗
33FMRS · D
Dive is a feature-rich open-source MCP host desktop app with broad LLM and MCP tool support. Its cross-platform nature and flexibility make it a strong choice for technical users, though some features are unstable and it may have a learning curve for non-technical users.
Dive is an open-source MCP Host desktop application that seamlessly integrates with any LLM that supports function calling. It is cross-platform (Windows, macOS, Linux), supports MCP over stdio and SSE, and includes built-in local tools like Fetch, File Manager, and Bash. It also offers multi-language support, advanced API management, granular tool control, custom instructions, keyboard shortcuts, chat draft saving, and auto-updates.
Tools
The tool list has not been reviewed yet.
Setup
Download the latest release from GitHub. Windows users can choose the Tauri version (recommended) or Electron. macOS users should download the .dmg of the Electron version. Linux users can choose Tauri or Electron (AppImage). On Windows, Python and Node.js environments will be downloaded automatically after launch; on macOS and Linux, install them manually. See BUILD.md and MCP_SETUP.md for details.
Fit and risk
Not for
- Non-technical users who expect one-click installation with no configuration.
- Users requiring full stability and official support, as some features are unstable.
- Users needing headless or CI/CD integration (as a desktop app).
Required permissions
- Access to the file system via built-in File Manager and Bash tools.
- Network access via the Fetch tool and MCP server communication.
- Execute local commands via the Bash tool.
- Store application data (configuration, chat history).
Risks and side effects
- MCP server authentication is unstable and may require frequent re-authorization.
- The Bash tool can execute arbitrary commands, posing a security risk.
- Misconfiguration may lead to data loss or system issues.
- Unofficial MCP servers may introduce security threats.
Troubleshooting
- Ensure Python and Node.js (including npx uvx) are installed.
- Ubuntu/Debian users may need to add --no-sandbox or adjust sandbox settings when running the AppImage.
- Arch users can install via AUR.
- If MCP servers fail to connect, check stdio/SSE configuration.
- For authentication issues, try re-authorizing.
Use cases
Interacting with powerful LLMs on the desktop for everyday conversations and tasks.
Integrating multiple AI agents and tools via MCP to automate workflows.
Running Ollama locally while managing multiple MCP servers.
Supported clients
Supported clients have not been confirmed yet.