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DuckDuckGo MCP Server

@shgsousa

リポジトリ

基本情報

カテゴリ

検索

ライセンス

Apache-2.0

トランスポート

stdio

作者

shgsousa

DuckDuckGo MCP Server について

A web search tool and API powered by DuckDuckGo, Gradio, and MCP, providing both a user-friendly web interface and Claude Desktop tool integration. It fetches web search results, extracts summaries, and retrieves the full content of web pages in markdown format.

DuckDuckGo MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "ddg_mcp_server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "ddg-mcp-server",
        "."
      ]
    }
  }
}

DuckDuckGo MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is DuckDuckGo MCP Server?

DuckDuckGo MCP Server provides a web-based search interface using the DuckDuckGo search API. It is built with Python and Gradio and is intended for users who want real-time search results with markdown-formatted output.

How to use DuckDuckGo MCP Server?

Run the Docker container (docker run -p 7860:7860 ddg-mcp-server) and access the application at http://localhost:7860. Optionally configure an OpenAI-compatible API key via environment variables (OPENAI_API_URL, ACCESS_TOKEN) to enable AI‑powered content summarization.

Key features of DuckDuckGo MCP Server

  • Web‑based search interface using DuckDuckGo
  • Real‑time search results with full content
  • Markdown‑formatted output
  • Configurable number of results
  • AI‑powered content summarization (requires API key)

Use cases of DuckDuckGo MCP Server

  • Fetching and displaying DuckDuckGo search results in a browser
  • Automating search queries with a configurable result count
  • Summarizing web content using an OpenAI‑compatible API

よくある質問

1

What does the server do?

It provides a Gradio web interface that searches DuckDuckGo and returns results formatted as Markdown. It can optionally summarize content using an external AI API.

2

How do I run the server?

Build the Docker image (`docker build -t ddg-mcp-server .`) and run the container (`docker run -p 7860:7860 ddg-mcp-server`). The application is then available on port 7860.

3

What dependencies does it require?

The application runs on Python 3.10 and uses Gradio, the DuckDuckGo Search API, BeautifulSoup4, and Markdownify. For summarization, an OpenAI‑compatible API key is needed.

4

How do I enable AI summarization?

Set the `OPENAI_API_URL` and `ACCESS_TOKEN` environment variables (or use a `.env` file). The default model is `gpt-4.1-turbo`, configurable in `config.py`.

5

Where does the search data come from?

All search results are fetched live from DuckDuckGo's search API. No local search index or cached data is used.

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