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Dumpling-AI/mcp-server-dumplingai

by Various

MCP (Model Context Protocol) server for Dumpling AI

D

MCP

Dumpling-AI/mcp-server-dumplingai

Added 1 June 2026

Overview

A Model Context Protocol (MCP) server that provides a standardized interface to Dumpling AI. It allows MCP-compatible clients to interact with Dumpling AI's capabilities through a simple JavaScript server.

Best for

Best for
Developers who need an MCP-compatible gateway to Dumpling AI services.

Use cases

  • Connecting Dumpling AI to MCP-enabled IDEs or assistants
  • Building custom AI workflows that use Dumpling AI via the MCP protocol
  • Integrating Dumpling AI into agentic pipelines that support MCP

How to use

Install

env DUMPLING_API_KEY=your_api_key npx -y mcp-server-dumplingai

Tested with

Claude Desktop, Cursor

Example client config

{\n  "mcpServers": {\n    "dumplingai": {\n      "command": "npx",\n      "args": ["-y", "mcp-server-dumplingai"],\n      "env": {\n        "DUMPLING_API_KEY": "<your-api-key>"\n      }\n    }\n  }\n}

Notes

A Model Context Protocol (MCP) server that provides a standardized interface to Dumpling AI. It allows MCP-compatible clients to interact with Dumpling AI’s capabilities through a simple JavaScript server.

30 stars on GitHub. Last updated 2025-07-10. Licensed MIT.

Use cases

  • Connecting Dumpling AI to MCP-enabled IDEs or assistants
  • Building custom AI workflows that use Dumpling AI via the MCP protocol
  • Integrating Dumpling AI into agentic pipelines that support MCP

Pros

  • Straightforward JavaScript implementation, easy to understand
  • Follows the MCP standard for interoperability with various clients
  • Lightweight and focused solely on the MCP-to-Dumpling-AI bridge

Cons

  • Low community engagement with only 30 GitHub stars
  • Limited documentation and examples beyond the basic README
  • Depends on Dumpling AI’s availability and API compatibility

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Straightforward JavaScript implementation, easy to understand
  • Follows the MCP standard for interoperability with various clients
  • Lightweight and focused solely on the MCP-to-Dumpling-AI bridge

Cons

  • Low community engagement with only 30 GitHub stars
  • Limited documentation and examples beyond the basic README
  • Depends on Dumpling AI's availability and API compatibility
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