MCP (Model Context Protocol) server for Dumpling AI
What is Dumpling AI mcp server dumplingai
Dumpling AI MCP Server
A Model Context Protocol (MCP) server implementation that integrates with Dumpling AI for data scraping, content processing, knowledge management, AI agents, and code execution capabilities.
*
Features
- Complete integration with all Dumpling AI API endpoints
- Data APIs for YouTube transcripts, search, autocomplete, maps, places, news, and reviews
- Web scraping with support for scraping, crawling, screenshots, and structured data extraction
- Document conversion tools for text extraction, PDF operations, video processing
- Extract data from documents, images, audio, and video
- AI capabilities including agent completions, knowledge base management, and image generation
- Developer tools for running JavaScript and Python code in a secure environment
- Automatic error handling and detailed response formatting
Installation
Installing via Smithery
To install mcp-server-dumplingai for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Dumpling-AI/mcp-server-dumplingai --client claude
Running with npx
env DUMPLING_API_KEY=your_api_key npx -y mcp-server-dumplingai
Manual Installation
npm install -g mcp-server-dumplingai
Running on Cursor
Configuring Cursor 🖥️ Note: Requires Cursor version 0.45.6+
To configure Dumpling AI MCP in Cursor:
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add New MCP Server"
- Enter the following:
{
"mcpServers": {
"dumplingai": {
"command": "npx",
"args": ["-y", "mcp-server-dumplingai"],
"env": {
"DUMPLING_API_KEY": "<your-api-key>"
}
}
}
}
If you are using Windows and are running into issues, try
cmd /c "set DUMPLING_API_KEY=your-api-key && npx -y mcp-server-dumplingai"
Replace your-api-key
with your Dumpling AI API key.
Configuration
Environment Variables
DUMPLING_API_KEY
: Your Dumpling AI API key (required)
Available Tools
Data APIs
1. Get YouTube Transcript (get-youtube-transcript
)
Extract transcripts from YouTube videos with optional timestamps.
{
"name": "get-youtube-transcript",
"arguments": {
"videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
"includeTimestamps": true,
"timestampsToCombine": 3,
"preferredLanguage": "en"
}
}
2. Search (search
)
Perform Google web searches and optionally scrape content from results.
{
"name": "search",
"arguments": {
"query": "machine learning basics",
"country": "us",
"language": "en",
"dateRange": "pastMonth",
"scrapeResults": true,
"numResultsToScrape": 3,
"scrapeOptions": {
"format": "markdown",
"cleaned": true
}
}
}
3. Get Autocomplete (get-autocomplete
)
Get Google search autocomplete suggestions for a query.
{
"name": "get-autocomplete",
"arguments": {
"query": "how to learn",
"country": "us",
"language": "en",
"location": "New York"
}
}
4. Search Maps (search-maps
)
Search Google Maps for locations and businesses.
{
"name": "search-maps",
"arguments": {
"query": "coffee shops",
"gpsPositionZoom": "37.7749,-122.4194,14z",
"language": "en",
"page": 1
}
}
5. Search Places (search-places
)
Search for places with more detailed information.
{
"name": "search-places",
"arguments": {
"query": "hotels in paris",
"country": "fr",
"language": "en",
"page": 1
}
}
6. Search News (search-news
)
Search for news articles with customizable parameters.
{
"name": "search-news",
"arguments": {
"query": "climate change",
"country": "us",
"language": "en",
"dateRange": "pastWeek"
}
}
7. Get Google Reviews (get-google-reviews
)
Retrieve Google reviews for businesses or places.
{
"name": "get-google-reviews",
"arguments": {
"businessName": "Eiffel Tower",
"location": "Paris, France",
"limit": 10,
"sortBy": "relevance"
}
}
Web Scraping
8. Scrape (scrape
)
Extract content from a web page with formatting options.
{
"name": "scrape",
"arguments": {
"url": "https://example.com",
"format": "markdown",
"cleaned": true,
"renderJs": true
}
}
9. Crawl (crawl
)
Recursively crawl websites and extract content with customizable parameters.
{
"name": "crawl",
"arguments": {
"baseUrl": "https://example.com",
"maxPages": 10,
"crawlBeyondBaseUrl": false,
"depth": 2,
"scrapeOptions": {
"format": "markdown",
"cleaned": true,
"renderJs": true
}
}
}
10. Screenshot (screenshot
)
Capture screenshots of web pages with customizable viewport and format options.
{
"name": "screenshot",
"arguments": {
"url": "https://example.com",
"width": 1280,
"height": 800,
"fullPage": true,
"format": "png",
"waitFor": 1000
}
}
11. Extract (extract
)
Extract structured data from web pages using AI-powered instructions.
{
"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
}
}
Document Conversion
12. Doc to Text (doc-to-text
)
Convert documents to plaintext with optional OCR.
{
"name": "doc-to-text",
"arguments": {
"url": "https://example.com/document.pdf",
"options": {
"ocr": true,
"language": "en"
}
}
}
13. Convert to PDF (convert-to-pdf
)
Convert various file formats to PDF.
{
"name": "convert-to-pdf",
"arguments": {
"url": "https://example.com/document.docx",
"format": "docx",
"options": {
"quality": 90,
"pageSize": "A4",
"margin": 10
}
}
}
14. Merge PDFs (merge-pdfs
)
Combine multiple PDFs into a single document.
{
"name": "merge-pdfs",
"arguments": {
"urls": ["https://example.com/doc1.pdf", "https://example.com/doc2.pdf"],
"options": {
"addPageNumbers": true,
"addTableOfContents": true
}
}
}
15. Trim Video (trim-video
)
Extract a specific clip from a video.
{
"name": "trim-video",
"arguments": {
"url": "https://example.com/video.mp4",
"startTime": 30,
"endTime": 60,
"output": "mp4",
"options": {
"quality": 720,
"fps": 30
}
}
}
16. Extract Document (extract-document
)
Extract specific content from documents in various formats.
{
"name": "extract-document",
"arguments": {
"url": "https://example.com/document.pdf",
"format": "structured",
"options": {
"ocr": true,
"language": "en",
"includeMetadata": true
}
}
}
17. Extract Image (extract-image
)
Extract text and information from images.
{
"name": "extract-image",
"arguments": {
"url": "https://example.com/image.jpg",
"extractionType": "text",
"options": {
"language": "en",
"detectOrientation": true
}
}
}
18. Extract Audio (extract-audio
)
Transcribe and extract information from audio files.
{
"name": "extract-audio",
"arguments": {
"url": "https://example.com/audio.mp3",
"language": "en",
"options": {
"model": "enhanced",
"speakerDiarization": true,
"wordTimestamps": true
}
}
}
19. Extract Video (extract-video
)
Extract content from videos including transcripts, scenes, and objects.
{
"name": "extract-video",
"arguments": {
"url": "https://example.com/video.mp4",
"extractionType": "transcript",
"options": {
"language": "en",
"speakerDiarization": true
}
}
}
20. Read PDF Metadata (read-pdf-metadata
)
Extract metadata from PDF files.
{
"name": "read-pdf-metadata",
"arguments": {
"url": "https://example.com/document.pdf",
"includeExtended": true
}
}
21. Write PDF Metadata (write-pdf-metadata
)
Update metadata in PDF files.
{
"name": "write-pdf-metadata",
"arguments": {
"url": "https://example.com/document.pdf",
"metadata": {
"title": "New Title",
"author": "John Doe",
"keywords": ["keyword1", "keyword2"]
}
}
}
AI
22. Generate Agent Completion (generate-agent-completion
)
Get AI agent completions with optional tool definitions.
{
"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. Search Knowledge Base (search-knowledge-base
)
Search a knowledge base for relevant information.
{
"name": "search-knowledge-base",
"arguments": {
"kbId": "kb_12345",
"query": "How to optimize database performance",
"limit": 5,
"similarityThreshold": 0.7
}
}
24. Add to Knowledge Base (add-to-knowledge-base
)
Add entries to a knowledge base.
{
"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. Generate AI Image (generate-ai-image
)
Generate images using AI models.
{
"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. Generate Image (generate-image
)
Generate images using various AI providers.
{
"name": "generate-image",
"arguments": {
"prompt": "A golden retriever in a meadow of wildflowers",
"provider": "dalle",
"width": 1024,
"height": 1024,
"numImages": 1
}
}
Developer Tools
27. Run JavaScript Code (run-js-code
)
Execute JavaScript code with optional dependencies.
{
"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. Run Python Code (run-python-code
)
Execute Python code with optional dependencies.
{
"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
}
}
Error Handling
The server provides robust error handling:
- Detailed error messages with HTTP status codes
- API key validation
- Input validation using Zod schemas
- Network error handling with descriptive messages
Example error response:
{
"content": [
{
"type": "text",
"text": "Error: Failed to fetch YouTube transcript: 404 Not Found"
}
],
"isError": true
}
Development
# Install dependencies
npm install
# Build
npm run build
License
MIT License - see LICENSE file for details
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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