Connects AI agents to Dumpling AI APIs for web research, scraping, document processing, media extraction, and code execution.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Dumplingai.
The Dumpling-AI/mcp-server-dumplingai MCP server gives compatible AI clients access to Dumpling AI APIs through a single MCP integration. Its documented scope spans web and data research, scraping, document conversion, multimodal extraction, knowledge-management and agent features, image generation, and JavaScript or Python execution in a secure environment.
The data tools cover YouTube transcript retrieval, Google search, autocomplete suggestions, Maps and place searches, news searches, and Google reviews. Web tools can scrape a page, crawl a site, capture a screenshot, or extract structured fields from a page using instructions and a schema.
The server runs as a local Node.js process and communicates with the MCP client using the configured command. Tool requests are passed to Dumpling AI, with inputs such as URLs, search parameters, extraction instructions, output formats, language settings, and media-processing options. Responses are formatted for the client, and the README describes automatic error handling and detailed response formatting.
Most document and media operations accept a URL. Supported examples include converting documents to text or PDF, merging PDFs, trimming video, reading or writing PDF metadata, and extracting information from documents, images, audio, and video. Extraction options include OCR, transcription, speaker diarization, timestamps, metadata, and structured output where supported.
To run the Dumpling-AI/mcp-server-dumplingai MCP server with npx, install or invoke the mcp-server-dumplingai package and set DUMPLING_API_KEY to a Dumpling AI API key. The README marks this variable as required. A direct command is:
Claude Desktop can be configured through Smithery, while Cursor can be configured from Settings, Features, and MCP Servers. The Cursor example uses npx -y mcp-server-dumplingai and passes the API key through the server's environment. The README notes that Cursor configuration requires version 0.45.6 or later.
The documented tool groups include:
A Dumpling AI API key is required, so the server cannot be run without configuring DUMPLING_API_KEY. The supplied material does not specify API quotas, pricing, supported operating systems, or the license. It also does not document the complete argument schema for every tool; the examples show representative options rather than a full reference. Cursor support is explicitly tied to version 0.45.6 or newer in the setup notes.
Always refer to the official documentation for the most accurate and up-to-date information.
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