MCP.so
登录
P

Pin Wen

@OpenAgentPlatform

代码仓库

关于 Pin Wen

暂无概览

#dive#ai-agent#llm-integration

基本信息

分类

其他

传输方式

stdio

发布者

OpenAgentPlatform

提交者

wen

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
    }
  }
}

工具

未检测到工具

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

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.

评论

其他 分类下的更多 MCP 服务器

Awesome-MCP-ZH

yzfly

MCP 资源精选， MCP指南，Claude MCP，MCP Servers, MCP Clients

7.4K

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K

Mcp

browsermcp

Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser

6.8K

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K