What LLMs does Pin Wen support?
It supports ChatGPT, Anthropic, Ollama, and any OpenAI-compatible model. Version 0.8.0 added Google Gemini and Mistral AI.
@OpenAgentPlatform
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"echo": {
"transport": "stdio",
"enabled": false,
"command": "node",
"args": [
"/Users/biggo2/.dive/scripts/echo.js"
],
"env": {},
"url": null,
"headers": null,
"extraData": null
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Pin Wen is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities.
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.
It supports ChatGPT, Anthropic, Ollama, and any OpenAI-compatible model. Version 0.8.0 added Google Gemini and Mistral AI.
Windows: .exe with Python and Node.js pre-installed. MacOS/Linux: .dmg or .AppImage; you need to install Python and Node.js (with npx and uvx) yourself.
Open the MCP configuration panel in the app and add a JSON entry with the command, args, and enabled flag. Examples for fetch, filesystem, and youtubedl are provided in the README.
In the MCP settings, add a server entry with `"transport": "sse"` and the server’s URL.
No. Due to the migration from TypeScript to Python, configuration files and chat history are not automatically upgraded. You can downgrade to access old data if needed.
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