MCP Server for Dumpling AI providing various Data scraping, conversion, and extraction tools
MCP Server for Dumpling AI providing various Data scraping, conversion, and extraction tools. That is what the dumplingai mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
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.
@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Configuration is passed through the environment: DUMPLING_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
This sits in the search and retrieval group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by Dumpling-AI; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"server-dumplingai": {
"command": "npx",
"args": ["-y", "@smithery/cli"],
"env": {
"DUMPLING_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| DUMPLING_API_KEY | Credential the server authenticates with. | Yes |
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.