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xue160709

YouTube MCP Server

by xue160709

yt-mcp-服务器

使用 mcp-framework 构建的模型上下文协议 (MCP) 服务器。

快速入门

# Install dependencies
npm install

# Build the project
npm run build

Related MCP server: YouTube MCP

项目结构

yt-mcp-server/
├── src/
│   ├── tools/        # MCP Tools
│   │   └── ExampleTool.ts
│   └── index.ts      # Server entry point
├── package.json
└── tsconfig.json

添加组件

该项目附带一个示例工具,位于src/tools/ExampleTool.ts 。您可以使用 CLI 添加更多工具:

# Add a new tool
mcp add tool my-tool

# Example tools you might create:
mcp add tool data-processor
mcp add tool api-client
mcp add tool file-handler

工具开发

示例工具结构:

import { MCPTool } from "mcp-framework";
import { z } from "zod";

interface MyToolInput {
  message: string;
}

class MyTool extends MCPTool<MyToolInput> {
  name = "my_tool";
  description = "Describes what your tool does";

  schema = {
    message: {
      type: z.string(),
      description: "Description of this input parameter",
    },
  };

  async execute(input: MyToolInput) {
    // Your tool logic here
    return `Processed: ${input.message}`;
  }
}

export default MyTool;

发布到 npm

  1. 更新你的 package.json:

    • 确保name唯一并遵循 npm 命名约定

    • 设置适当的version

    • 添加descriptionauthorlicense等。

    • 检查bin指向正确的入口文件

  2. 本地构建和测试:

    npm run build
    npm link
    yt-mcp-server  # Test your CLI locally
  3. 登录 npm(如有必要,请创建帐户):

    npm login
  4. 发布你的包:

    npm publish

发布后,用户可以将其添加到他们的 claude 桌面客户端(见下文)或使用 npx 运行它


## Using with Claude Desktop

### Local Development

Add this configuration to your Claude Desktop config file:

**MacOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "yt-mcp-server": {
      "command": "node",
      "args":["/absolute/path/to/yt-mcp-server/dist/index.js"]
    }
  }
}

发布后

将此配置添加到您的 Claude Desktop 配置文件:

MacOS~/Library/Application Support/Claude/claude_desktop_config.json Windows%APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "yt-mcp-server": {
      "command": "npx",
      "args": ["yt-mcp-server"]
    }
  }
}

构建和测试

  1. 更改你的工具

  2. 运行npm run build进行编译

  3. 服务器将在启动时自动加载您的工具

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