MCP Server for Dumpling AI
by
Provides a comprehensive Model Context Protocol server that integrates all Dumpling AI endpoints, enabling data extraction, web scraping, document processing, AI agent interactions, image generation, and secure execution of JavaScript or Python code via a single HTTP interface.
MCP Server for Dumpling AI Overview
What is MCP Server for Dumpling AI about?
The server implements the Model Context Protocol for Dumpling AI, exposing a large set of tools such as YouTube transcript extraction, web search, Google Maps, document‑to‑text conversion, PDF manipulation, video trimming, AI agent completions, knowledge‑base queries, image generation, and sandboxed code execution. All functionalities are reachable through well‑defined JSON‑based tool definitions.
How to use MCP Server for Dumpling AI?
- Install – either via
npx, global npm install, or through Smithery. - Provide your API key via the
DUMPLING_API_KEYenvironment variable. - Run the server (
npx -y mcp-server-dumplingai). - Send HTTP requests to the server’s endpoint, specifying the tool name and arguments in the request body as shown in the README examples.
Key features of MCP Server for Dumpling AI
- Full coverage of Dumpling AI public API endpoints.
- Data APIs: YouTube transcripts, Google search/autocomplete, Maps, Places, News, Reviews.
- Web scraping suite:
scrape,crawl,screenshot,extractwith AI‑driven structured extraction. - Document conversion: text extraction, PDF generation/merge, video trimming, OCR support.
- AI capabilities: agent completions, knowledge‑base search/add, image generation (multiple providers).
- Developer tools: secure execution of JavaScript and Python code with dependency management.
- Automatic error handling, input validation (Zod), and detailed response formatting.
Use cases of MCP Server for Dumpling AI
- Content research – fetch transcripts, search the web, and extract structured data for reports.
- Knowledge‑base building – ingest documents, extract text, and populate a searchable knowledge base.
- Automation workflows – combine scraping, data extraction, and AI generation in CI/CD pipelines or bots.
- Multimedia processing – convert PDFs, trim videos, generate images for marketing assets.
- Custom AI agents – call
generate-agent-completionwith tool definitions to build autonomous assistants. - Rapid prototyping – run JavaScript/Python snippets on the server without setting up a local runtime.
FAQ from the MCP Server for Dumpling AI
Q: Which command is recommended for installation?
A: Use npx -y mcp-server-dumplingai – it installs and runs the server without a global install.
Q: What environment variable is required?
A: DUMPLING_API_KEY must contain a valid Dumpling AI API key.
Q: Can I run the server inside Cursor? A: Yes, add the MCP server configuration to Cursor’s settings as described in the README.
Q: How are errors returned?
A: Errors are returned as JSON with an isError flag and a descriptive text message.
Q: Are there limits on code execution?
A: Each run-js-code or run-python-code request can specify a timeout; the server enforces this limit for safety.
Q: Is the server open‑source? A: It is released under the MIT License; the source code is available on GitHub.
MCP Server for Dumpling AI's README
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
MCP Server for Dumpling AI Reviews
Login Required
Please log in to share your review and rating for this MCP.
Actions
MCP Server for Dumpling AI's Information
- Author
- Dumpling-AI
- Category
- AI Services
- Language
- JavaScript
- License
- MIT License
- Version
- v1.1.3
- Stars
- 24
- Updated
- 2 months ago
Configuration
{
"mcpServers": {
"dumplingai": {
"command": "npx",
"args": [
"-y",
"mcp-server-dumplingai"
],
"env": {
"DUMPLING_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Configure Clients
Related MCP Servers
Discover more MCP servers with similar functionality and use cases
LibreChat
Clientby danny-avila
Provides a customizable ChatGPT‑like web UI that integrates dozens of AI models, agents, code execution, image generation, web search, speech capabilities, and secure multi‑user authentication, all open‑source and ready for self‑hosting.
Blender
by ahujasid
BlenderMCP integrates Blender with Claude AI via the Model Context Protocol (MCP), enabling AI-driven 3D scene creation, modeling, and manipulation. This project allows users to control Blender directly through natural language prompts, streamlining the 3D design workflow.
Pydantic AI
by pydantic
Enables building production‑grade generative AI applications using Pydantic validation, offering a FastAPI‑like developer experience.
Figma
by GLips
Figma-Context-MCP is a Model Context Protocol (MCP) server that provides Figma layout information to AI coding agents. It bridges design and development by enabling AI tools to directly access and interpret Figma design data for more accurate and efficient code generation.
Mcp Use
Clientby mcp-use
Easily create and interact with MCP servers using custom agents, supporting any LLM with tool calling and offering multi‑server, sandboxed, and streaming capabilities.
Talk To Figma
by sonnylazuardi
This project implements a Model Context Protocol (MCP) integration between Cursor AI and Figma, allowing Cursor to communicate with Figma for reading designs and modifying them programmatically.
WhatsApp MCP Server
by lharries
WhatsApp MCP Server is a Model Context Protocol (MCP) server for WhatsApp that allows users to search, read, and send WhatsApp messages (including media) through AI models like Claude. It connects directly to your personal WhatsApp account via the WhatsApp web multi-device API and stores messages locally in a SQLite database.
GitMCP
by idosal
GitMCP is a free, open-source remote Model Context Protocol (MCP) server that transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code directly from the source to eliminate "code hallucinations."
Discord
Officialby Klavis-AI
Klavis AI provides open-source Multi-platform Control Protocol (MCP) integrations and a hosted API for AI applications. It simplifies connecting AI to various third-party services by managing secure MCP servers and authentication.