Dutling AI MCP 服务器

模型上下文协议 (MCP) 服务器实现与 Dumpling AI 集成，用于数据抓取、内容处理、知识管理、AI 代理和代码执行功能。

特征

与所有 Dumpling AI API 端点完全集成
YouTube 成绩单、搜索、自动完成、地图、地点、新闻和评论的数据 API
Web 抓取，支持抓取、爬取、屏幕截图和结构化数据提取
用于文本提取、PDF 操作、视频处理的文档转换工具
从文档、图像、音频和视频中提取数据
AI 功能包括代理完成、知识库管理和图像生成
用于在安全环境中运行 JavaScript 和 Python 代码的开发人员工具
自动错误处理和详细的响应格式

安装

通过 Smithery 安装

要通过Smithery自动为 Claude Desktop 安装 mcp-server-dumplingai：

npx -y @smithery/cli install @Dumpling-AI/mcp-server-dumplingai --client claude

使用 npx 运行

env DUMPLING_API_KEY=your_api_key npx -y mcp-server-dumplingai

手动安装

npm install -g mcp-server-dumplingai

在光标上运行

配置 Cursor 🖥️ 注意：需要 Cursor 版本 0.45.6+

要在 Cursor 中配置 Dumpling AI MCP：

打开游标设置
前往“功能”>“MCP 服务器”
点击“+ 添加新的 MCP 服务器”
输入以下内容：

{
  "mcpServers": {
    "dumplingai": {
      "command": "npx",
      "args": ["-y", "mcp-server-dumplingai"],
      "env": {
        "DUMPLING_API_KEY": "<your-api-key>"
      }
    }
  }
}

如果您使用的是 Windows 并且遇到问题，请尝试cmd /c "set DUMPLING_API_KEY=your-api-key && npx -y mcp-server-dumplingai"

用您的 Dumpling AI API 密钥替换your-api-key 。

配置

环境变量

DUMPLING_API_KEY ：您的 Dumpling AI API 密钥（必需）

可用工具

数据 API

1. 获取 YouTube 成绩单（ `get-youtube-transcript` ）

从 YouTube 视频中提取带有可选时间戳的文字记录。

{
  "name": "get-youtube-transcript",
  "arguments": {
    "videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "includeTimestamps": true,
    "timestampsToCombine": 3,
    "preferredLanguage": "en"
  }
}

2. 搜索（ `search` ）

执行 Google 网络搜索并选择性地从结果中抓取内容。

{
  "name": "search",
  "arguments": {
    "query": "machine learning basics",
    "country": "us",
    "language": "en",
    "dateRange": "pastMonth",
    "scrapeResults": true,
    "numResultsToScrape": 3,
    "scrapeOptions": {
      "format": "markdown",
      "cleaned": true
    }
  }
}

3. 获取自动完成功能（ `get-autocomplete` ）

获取 Google 搜索查询的自动完成建议。

{
  "name": "get-autocomplete",
  "arguments": {
    "query": "how to learn",
    "country": "us",
    "language": "en",
    "location": "New York"
  }
}

4. 搜索地图（ `search-maps` ）

在 Google 地图上搜索地点和商家。

{
  "name": "search-maps",
  "arguments": {
    "query": "coffee shops",
    "gpsPositionZoom": "37.7749,-122.4194,14z",
    "language": "en",
    "page": 1
  }
}

5. 搜索地点（ `search-places` ）

搜索具有更详细信息的地点。

{
  "name": "search-places",
  "arguments": {
    "query": "hotels in paris",
    "country": "fr",
    "language": "en",
    "page": 1
  }
}

6. 搜索新闻（ `search-news` ）

使用可自定义的参数搜索新闻文章。

{
  "name": "search-news",
  "arguments": {
    "query": "climate change",
    "country": "us",
    "language": "en",
    "dateRange": "pastWeek"
  }
}

7. 获取 Google 评论（ `get-google-reviews` ）

检索企业或地点的 Google 评论。

{
  "name": "get-google-reviews",
  "arguments": {
    "businessName": "Eiffel Tower",
    "location": "Paris, France",
    "limit": 10,
    "sortBy": "relevance"
  }
}

网页抓取

8. 刮擦（ `scrape` ）

使用格式化选项从网页中提取内容。

{
  "name": "scrape",
  "arguments": {
    "url": "https://example.com",
    "format": "markdown",
    "cleaned": true,
    "renderJs": true
  }
}

9. 爬行（ `crawl` ）

递归抓取网站并使用可自定义的参数提取内容。

{
  "name": "crawl",
  "arguments": {
    "baseUrl": "https://example.com",
    "maxPages": 10,
    "crawlBeyondBaseUrl": false,
    "depth": 2,
    "scrapeOptions": {
      "format": "markdown",
      "cleaned": true,
      "renderJs": true
    }
  }
}

10.屏幕截图（ `screenshot` ）

使用可自定义的视口和格式选项捕获网页截图。

{
  "name": "screenshot",
  "arguments": {
    "url": "https://example.com",
    "width": 1280,
    "height": 800,
    "fullPage": true,
    "format": "png",
    "waitFor": 1000
  }
}

11. Extract（ `extract` ）

使用人工智能指令从网页中提取结构化数据。

{
  "name": "extract",
  "arguments": {
    "url": "https://example.com/products",
    "instructions": "Extract all product names, prices, and descriptions from this page",
    "schema": {
      "products": [
        {
          "name": "string",
          "price": "number",
          "description": "string"
        }
      ]
    },
    "renderJs": true
  }
}

文档转换

12. 文档转文本（ `doc-to-text` ）

使用可选的 OCR 将文档转换为纯文本。

{
  "name": "doc-to-text",
  "arguments": {
    "url": "https://example.com/document.pdf",
    "options": {
      "ocr": true,
      "language": "en"
    }
  }
}

13.转换为PDF（ `convert-to-pdf` ）

将各种文件格式转换为 PDF。

{
  "name": "convert-to-pdf",
  "arguments": {
    "url": "https://example.com/document.docx",
    "format": "docx",
    "options": {
      "quality": 90,
      "pageSize": "A4",
      "margin": 10
    }
  }
}

14. 合并 PDF（ `merge-pdfs` ）

将多个 PDF 合并为一个文档��

{
  "name": "merge-pdfs",
  "arguments": {
    "urls": ["https://example.com/doc1.pdf", "https://example.com/doc2.pdf"],
    "options": {
      "addPageNumbers": true,
      "addTableOfContents": true
    }
  }
}

15. 修剪视频（ `trim-video` ）

从视频中提取特定片段。

{
  "name": "trim-video",
  "arguments": {
    "url": "https://example.com/video.mp4",
    "startTime": 30,
    "endTime": 60,
    "output": "mp4",
    "options": {
      "quality": 720,
      "fps": 30
    }
  }
}

16. 提取文档（ `extract-document` ）

从各种格式的文档中提取特定内容。

{
  "name": "extract-document",
  "arguments": {
    "url": "https://example.com/document.pdf",
    "format": "structured",
    "options": {
      "ocr": true,
      "language": "en",
      "includeMetadata": true
    }
  }
}

17. 提取图像（ `extract-image` ）

从图像中提取文本和信息。

{
  "name": "extract-image",
  "arguments": {
    "url": "https://example.com/image.jpg",
    "extractionType": "text",
    "options": {
      "language": "en",
      "detectOrientation": true
    }
  }
}

18. 提取音频（ `extract-audio` ）

从音频文件中转录并提取信息。

{
  "name": "extract-audio",
  "arguments": {
    "url": "https://example.com/audio.mp3",
    "language": "en",
    "options": {
      "model": "enhanced",
      "speakerDiarization": true,
      "wordTimestamps": true
    }
  }
}

19. 提取视频（ `extract-video` ）

从视频中提取内容，包括文字记录、场景和对象。

{
  "name": "extract-video",
  "arguments": {
    "url": "https://example.com/video.mp4",
    "extractionType": "transcript",
    "options": {
      "language": "en",
      "speakerDiarization": true
    }
  }
}

20. 读取 PDF 元数据（ `read-pdf-metadata` ）

从 PDF 文件中提取元数据。

{
  "name": "read-pdf-metadata",
  "arguments": {
    "url": "https://example.com/document.pdf",
    "includeExtended": true
  }
}

21. 写入 PDF 元数据（ `write-pdf-metadata` ）

更新 PDF 文件中的元数据。

{
  "name": "write-pdf-metadata",
  "arguments": {
    "url": "https://example.com/document.pdf",
    "metadata": {
      "title": "New Title",
      "author": "John Doe",
      "keywords": ["keyword1", "keyword2"]
    }
  }
}

人工智能

22. 生成代理完成（ `generate-agent-completion` ）

通过可选工具定义获取 AI 代理完成情况。

{
  "name": "generate-agent-completion",
  "arguments": {
    "prompt": "How can I improve my website's SEO?",
    "model": "gpt-4",
    "temperature": 0.7,
    "maxTokens": 500,
    "context": ["The website is an e-commerce store selling handmade crafts."]
  }
}

23. 搜索知识库（ `search-knowledge-base` ）

在知识库中搜索相关信息。

{
  "name": "search-knowledge-base",
  "arguments": {
    "kbId": "kb_12345",
    "query": "How to optimize database performance",
    "limit": 5,
    "similarityThreshold": 0.7
  }
}

24. 添加到知识库（ `add-to-knowledge-base` ）

向知识库添加条目。

{
  "name": "add-to-knowledge-base",
  "arguments": {
    "kbId": "kb_12345",
    "entries": [
      {
        "text": "MongoDB is a document-based NoSQL database.",
        "metadata": {
          "source": "MongoDB documentation",
          "category": "databases"
        }
      }
    ],
    "upsert": true
  }
}

25. 生成 AI 图像（ `generate-ai-image` ）

使用 AI 模型生成图像。

{
  "name": "generate-ai-image",
  "arguments": {
    "prompt": "A futuristic city with flying cars and neon lights",
    "width": 1024,
    "height": 1024,
    "numImages": 1,
    "quality": "hd",
    "style": "photorealistic"
  }
}

26. 生成图像（ `generate-image` ）

使用各种 AI 提供商生成图像。

{
  "name": "generate-image",
  "arguments": {
    "prompt": "A golden retriever in a meadow of wildflowers",
    "provider": "dalle",
    "width": 1024,
    "height": 1024,
    "numImages": 1
  }
}

开发人员工具

27. 运行 JavaScript 代码（ `run-js-code` ）

执行带有可选依赖项的 JavaScript 代码。

{
  "name": "run-js-code",
  "arguments": {
    "code": "const result = [1, 2, 3, 4].reduce((sum, num) => sum + num, 0); console.log(`Sum: ${result}`); return result;",
    "dependencies": {
      "lodash": "^4.17.21"
    },
    "timeout": 5000
  }
}

28. 运行 Python 代码（ `run-python-code` ）

使用可选依赖项执行 Python 代码。

{
  "name": "run-python-code",
  "arguments": {
    "code": "import numpy as np\narr = np.array([1, 2, 3, 4, 5])\nmean = np.mean(arr)\nprint(f'Mean: {mean}')\nreturn mean",
    "dependencies": ["numpy", "pandas"],
    "timeout": 10000,
    "saveOutputFiles": true
  }
}

错误处理

服务器提供了强大的错误处理：

带有 HTTP 状态代码的详细错误消息
API 密钥验证
使用 Zod 模式进行输入验证
使用描述性消息处理网络错误

错误响应示例：

{
  "content": [
    {
      "type": "text",
      "text": "Error: Failed to fetch YouTube transcript: 404 Not Found"
    }
  ],
  "isError": true
}

发展

# Install dependencies
npm install

# Build
npm run build

执照

MIT 许可证 - 详情请参阅许可证文件

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

View all tools

与 Dumpling AI 集成，通过用于 Web 交互、文档处理和 AI 服务的工具提供数据抓取、内容处理、知识管理和代码执行功能。

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