DDG is a server that provides DuckDuckGo search capabilities through the Model Context Protocol (MCP), allowing you to integrate DuckDuckGo's search functionality into your AI applications.

What search types does DDG support?

DDG supports text, image, news, and video searches, along with a DuckDuckGo AI chat interface.

Can I integrate DDG with Claude?

Yes, DDG supports integration with Claude desktop. Configuration details for both development and published server setups are provided in the README.

What parameters can I use to refine my DuckDuckGo searches?

You can refine searches with parameters like region, safesearch, and timelimit, as well as specific parameters for image (size, color, type) and video (resolution, duration) searches.

How do I install DDG?

DDG can be installed from PyPI using uv or pip, or directly from the source code on GitHub. Detailed installation instructions are available in the project's README.

DDG

Name: DDG
Author: misanthropic-ai

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Provides DuckDuckGo search capabilities through the Model Context Protocol.

DDG provides a Model Context Protocol (MCP) server that enables DuckDuckGo search functionality. It offers various prompts and tools, including summarizing search results and performing text, image, news, and video searches. It also includes an AI chat tool that leverages DuckDuckGo AI and allows you to choose from a selection of available models.

主な機能

01Performs web text searches with optional parameters for region, safesearch, and more

02Supports integration with Claude desktop for easy server configuration

03Enables image, news, and video searches with specific filters

040 GitHub stars

05Summarizes DuckDuckGo search results

06Provides a DuckDuckGo AI chat interface with model selection

ユースケース

01Building conversational AI agents with DuckDuckGo search capabilities

02Integrating web search into AI workflows

03Automating data collection from DuckDuckGo