Pin Wen

Name: Pin Wen
Author: OpenAgentPlatform

@OpenAgentPlatform

リポジトリ

Pin Wen について

概要はまだありません

#dive #ai-agent #llm-integration

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

OpenAgentPlatform

投稿者

wen

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "echo": {
      "transport": "stdio",
      "enabled": false,
      "command": "node",
      "args": [
        "/Users/biggo2/.dive/scripts/echo.js"
      ],
      "env": {},
      "url": null,
      "headers": null,
      "extraData": null
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Pin Wen

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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