What environment variable is required?
You must set `DUMPLING_API_KEY` to your Dumpling AI API key.
@Dumpling-AI
Basic information
MCP (Model Context Protocol) server for Dumpling AI
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-dumplingai": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@Dumpling-AI/mcp-server-dumplingai",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol (MCP) server that integrates Dumpling AI’s API for data scraping, content processing, knowledge management, AI agents, and code execution. It provides over 25 tools for tasks like web scraping, document conversion, AI completions, and running JavaScript or Python code.
Install automatically via Smithery (npx -y @smithery/cli install @Dumpling-AI/mcp-server-dumplingai --client claude) or run with npx (env DUMPLING_API_KEY=your_api_key npx -y mcp-server-dumplingai). You must set the DUMPLING_API_KEY environment variable. For Cursor, add the server in Settings > Features > MCP Servers with the provided JSON config.
You must set `DUMPLING_API_KEY` to your Dumpling AI API key.
Run `npx -y @smithery/cli install @Dumpling-AI/mcp-server-dumplingai --client claude` in your terminal.
Execute `env DUMPLING_API_KEY=your_api_key npx -y mcp-server-dumplingai`.
Yes. In Cursor 0.45.6+, go to Settings > Features > MCP Servers, add a new server with the command `npx -y mcp-server-dumplingai` and set the `DUMPLING_API_KEY` environment variable.
It returns detailed error messages with HTTP status codes, validates API keys and inputs using Zod schemas, and handles network errors descriptively.
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