Pin Wen MCP Server

@OpenAgentPlatform

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

OpenAgentPlatform

提交者

wen

关于 Pin Wen MCP Server

暂无概览

#dive #ai-agent #llm-integration

Pin Wen MCP Server 配置

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
    }
  }
}

Pin Wen MCP Server 工具

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。

概览

What is Pin Wen?

Pin Wen is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities.

How to use Pin Wen?

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.

Key features of Pin Wen

Universal LLM support: ChatGPT, Anthropic, Ollama, OpenAI-compatible models
Cross-platform desktop app for Windows, MacOS, and Linux
Model Context Protocol with both stdio and SSE transport modes
Multi-language support: Traditional Chinese, Simplified Chinese, English, Spanish, Japanese, Korean
Advanced API management with multiple keys and model switching
Custom system prompts for tailored AI behavior
Built-in auto-update mechanism

Use cases of Pin Wen

Running MCP-based AI agents on your desktop with various LLMs
Experimenting with MCP tools like fetching web content, filesystem operations, or YouTube downloads
Developing and testing custom MCP servers in a local GUI environment
Switching between different LLM providers and models for comparative analysis

常见问题

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.

What are the system requirements?

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.

How do I add MCP tools?

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.

How do I connect to an external MCP server via SSE?

In the MCP settings, add a server entry with `"transport": "sse"` and the server’s URL.

Will upgrading to v0.8.0 preserve my old data?

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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