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MCP verified MIT Self-run

Ddgs

mcp-deedy5-ddgs · by deedy5

A metasearch library that aggregates results from diverse web search services

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Install

$ agentstack add mcp-deedy5-ddgs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

[](https://github.com/deedy5/ddgs/releases) [](https://pypi.org/project/ddgs)

DDGS | Dux Distributed Global Search

A metasearch library that aggregates results from diverse web search services.

Table of Contents

  • [Install](#install)
  • [CLI version](#cli-version)
  • [API Server](#api-server)
  • [MCP Server](#mcp-server)
  • [Engines](#engines)
  • [DDGS class](#ddgs-class)
  • [1. text()](#1-text)
  • [2. images()](#2-images)
  • [3. videos()](#3-videos)
  • [4. news()](#4-news)
  • [5. books()](#5-books)
  • [6. extract()](#6-extract)
  • [Disclaimer](#disclaimer)

Install

pip install -U ddgs       # Base install
pip install -U ddgs[api]  # API server (FastAPI)
pip install -U ddgs[mcp]  # MCP server (stdio)

CLI version

ddgs --help

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API Server

-- Install

pip install -U ddgs[api]

-- CLI

ddgs api              # Start server in foreground
ddgs api -d           # Start in detached mode (background)
ddgs api -s           # Stop detached server
ddgs api --host 127.0.0.1 --port 4479  # Default port 4479
ddgs api -pr socks5h://127.0.0.1:9150  # With proxy

-- Docker compose

git clone https://github.com/deedy5/ddgs && cd ddgs
docker-compose up --build

-- Bash script

git clone https://github.com/deedy5/ddgs && cd ddgs
chmod +x start_api.sh
./start_api.sh
Endpoints

| Endpoint | Method | Description | |----------|--------|-------------| | /search/text | GET, POST | Text search | | /search/images | GET, POST | Image search | | /search/news | GET, POST | News search | | /search/videos | GET, POST | Video search | | /search/books | GET, POST | Book search | | /extract | GET, POST | Extract content from URL | | /health | GET | Health check | | /docs | GET | Swagger UI | | /redoc | GET | ReDoc documentation |

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MCP Server

  • Install
pip install -U ddgs[mcp]
  • CLI
ddgs mcp    # Start MCP server (stdio transport)
ddgs mcp -pr socks5h://127.0.0.1:9150  # With proxy
Available Tools

| Tool | Description | |------|-------------| | search_text | Web text search | | search_images | Image search | | search_news | News search | | search_videos | Video search | | search_books | Book search | | extract_content | Extract content from a URL |

Client Configuration

For MCP clients like Cursor or Claude Desktop:

{
  "mcpServers": {
    "ddgs": {
      "command": "ddgs",
      "args": ["mcp"]
    }
  }
}

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Engines

| DDGS function | Available backends | | --------------|:-------------------| | text() | bing, brave, duckduckgo, google, grokipedia, mojeek, startpage, yandex, yahoo, wikipedia| | images() | bing, duckduckgo | | videos() | duckduckgo | | news() | bing, duckduckgo, yahoo | | books() | annasarchive |

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DDGS class

DDGS class is lazy-loaded.

class DDGS:
    """Dux Distributed Global Search. A metasearch library that aggregates results from diverse web search services.

    Args:
        proxy (str, optional): proxy for the HTTP client, supports http/https/socks5 protocols.
            example: "http://user:pass@example.com:3128". Defaults to None.
        timeout (int, optional): Timeout value for the HTTP client. Defaults to 5.
        verify: (bool | str):  True to verify, False to skip, or a str path to a PEM file. Defaults to True.
    """

Here is an example of initializing the DDGS class.

from ddgs import DDGS

results = DDGS().text("python programming", max_results=5)
print(results)

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1. text()

def text(
    query: str,
    region: str = "us-en",
    safesearch: str = "moderate",
    timelimit: str | None = None,
    max_results: int | None = 10,
    page: int = 1,
    backend: str = "auto",
) -> list[dict[str, str]]:
    """DDGS text metasearch.

    Args:
        query: text search query.
        region: us-en, uk-en, ru-ru, etc. Defaults to us-en.
        safesearch: on, moderate, off. Defaults to "moderate".
        timelimit: d, w, m, y. Defaults to None.
        max_results: maximum number of results. Defaults to 10.
        page: page of results. Defaults to 1.
        backend: A single or comma-delimited backends. Defaults to "auto".

    Returns:
        List of dictionaries with search results.
    """

Example

results = DDGS().text("live free or die", region="us-en", safesearch="off", timelimit="y", page=1, backend="auto")
# Searching for pdf files
results = DDGS().text("russia filetype:pdf", region="us-en", safesearch="off", timelimit="y", page=1, backend="auto")
print(results)
[
    {
        "title": "News, sport, celebrities and gossip | The Sun",
        "href": "https://www.thesun.co.uk/",
        "body": "Get the latest news, exclusives, sport, celebrities, showbiz, politics, business and lifestyle from The Sun",
    },
    ...,
]

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2. images()

def images(
    query: str,
    region: str = "us-en",
    safesearch: str = "moderate",
    timelimit: str | None = None,
    max_results: int | None = 10,
    page: int = 1,
    backend: str = "auto",
    size: str | None = None,
    color: str | None = None,
    type_image: str | None = None,
    layout: str | None = None,
    license_image: str | None = None,
) -> list[dict[str, str]]:
    """DDGS images metasearch.

    Args:
        query: images search query.
        region: us-en, uk-en, ru-ru, etc. Defaults to us-en.
        safesearch: on, moderate, off. Defaults to "moderate".
        timelimit: d, w, m, y. Defaults to None.
        max_results: maximum number of results. Defaults to 10.
        page: page of results. Defaults to 1.
        backend: A single or comma-delimited backends. Defaults to "auto".
        size: Small, Medium, Large, Wallpaper. Defaults to None.
        color: color, Monochrome, Red, Orange, Yellow, Green, Blue,
            Purple, Pink, Brown, Black, Gray, Teal, White. Defaults to None.
        type_image: photo, clipart, gif, transparent, line.
            Defaults to None.
        layout: Square, Tall, Wide. Defaults to None.
        license_image: any (All Creative Commons), Public (PublicDomain),
            Share (Free to Share and Use), ShareCommercially (Free to Share and Use Commercially),
            Modify (Free to Modify, Share, and Use), ModifyCommercially (Free to Modify, Share, and
            Use Commercially). Defaults to None.

    Returns:
        List of dictionaries with images search results.
    """

Example

results = DDGS().images(
    query="butterfly",
    region="us-en",
    safesearch="off",
    timelimit="m",
    page=1,
    backend="auto",
    size=None,
    color="Monochrome",
    type_image=None,
    layout=None,
    license_image=None,
)
print(images)
[
    {
        "title": "File:The Sun by the Atmospheric Imaging Assembly of NASA's Solar ...",
        "image": "https://upload.wikimedia.org/wikipedia/commons/b/b4/The_Sun_by_the_Atmospheric_Imaging_Assembly_of_NASA's_Solar_Dynamics_Observatory_-_20100819.jpg",
        "thumbnail": "https://tse4.mm.bing.net/th?id=OIP.lNgpqGl16U0ft3rS8TdFcgEsEe&pid=Api",
        "url": "https://en.wikipedia.org/wiki/File:The_Sun_by_the_Atmospheric_Imaging_Assembly_of_NASA's_Solar_Dynamics_Observatory_-_20100819.jpg",
        "height": 3860,
        "width": 4044,
        "source": "Bing",
    },
    ...,
]

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3. videos()

def videos(
    query: str,
    region: str = "us-en",
    safesearch: str = "moderate",
    timelimit: str | None = None,
    max_results: int | None = 10,
    page: int = 1,
    backend: str = "auto",
    resolution: str | None = None,
    duration: str | None = None,
    license_videos: str | None = None,
) -> list[dict[str, str]]:
    """DDGS videos metasearch.

    Args:
        query: videos search query.
        region: us-en, uk-en, ru-ru, etc. Defaults to us-en.
        safesearch: on, moderate, off. Defaults to "moderate".
        timelimit: d, w, m. Defaults to None.
        max_results: maximum number of results. Defaults to 10.
        page: page of results. Defaults to 1.
        backend: A single or comma-delimited backends. Defaults to "auto".
        resolution: high, standart. Defaults to None.
        duration: short, medium, long. Defaults to None.
        license_videos: creativeCommon, youtube. Defaults to None.

    Returns:
        List of dictionaries with videos search results.
    """

Example

results = DDGS().videos(
    query="cars",
    region="us-en",
    safesearch="off",
    timelimit="w",
    page=1,
    backend="auto",
    resolution="high",
    duration="medium",
)
print(results)
[
    {
        "content": "https://www.youtube.com/watch?v=6901-C73P3g",
        "description": "Watch the Best Scenes of popular Tamil Serial #Meena that airs on Sun TV. Watch all Sun TV serials immediately after the TV telecast on Sun NXT app. *Free for Indian Users only Download here: Android - http://bit.ly/SunNxtAdroid iOS: India - http://bit.ly/sunNXT Watch on the web - https://www.sunnxt.com/ Two close friends, Chidambaram ...",
        "duration": "8:22",
        "embed_html": '',
        "embed_url": "https://www.youtube.com/embed/6901-C73P3g?autoplay=1",
        "image_token": "6c070b5f0e24e5972e360d02ddeb69856202f97718ea6c5d5710e4e472310fa3",
        "images": {
            "large": "https://tse4.mm.bing.net/th?id=OVF.JWBFKm1u%2fHd%2bz2e1GitsQw&pid=Api",
            "medium": "https://tse4.mm.bing.net/th?id=OVF.JWBFKm1u%2fHd%2bz2e1GitsQw&pid=Api",
            "motion": "",
            "small": "https://tse4.mm.bing.net/th?id=OVF.JWBFKm1u%2fHd%2bz2e1GitsQw&pid=Api",
        },
        "provider": "Bing",
        "published": "2024-07-03T05:30:03.0000000",
        "publisher": "YouTube",
        "statistics": {"viewCount": 29059},
        "title": "Meena - Best Scenes | 02 July 2024 | Tamil Serial | Sun TV",
        "uploader": "Sun TV",
    },
    ...,
]

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4. news()

def news(
    query: str,
    region: str = "us-en",
    safesearch: str = "moderate",
    timelimit: str | None = None,
    max_results: int | None = 10,
    page: int = 1,
    backend: str = "auto",
) -> list[dict[str, str]]:
    """DDGS news metasearch.

    Args:
        query: news search query.
        region: us-en, uk-en, ru-ru, etc. Defaults to us-en.
        safesearch: on, moderate, off. Defaults to "moderate".
        timelimit: d, w, m. Defaults to None.
        max_results: maximum number of results. Defaults to 10.
        page: page of results. Defaults to 1.
        backend: A single or comma-delimited backends. Defaults to "auto".

    Returns:
        List of dictionaries with news search results.
    """

Example

results = DDGS().news(query="sun", region="us-en", safesearch="off", timelimit="m", page=1, backend="auto")
print(results)
[
    {
        "date": "2024-07-03T16:25:22+00:00",
        "title": "Murdoch's Sun Endorses Starmer's Labour Day Before UK Vote",
        "body": "Rupert Murdoch's Sun newspaper endorsed Keir Starmer and his opposition Labour Party to win the UK general election, a dramatic move in the British media landscape that illustrates the country's shifting political sands.",
        "url": "https://www.msn.com/en-us/money/other/murdoch-s-sun-endorses-starmer-s-labour-day-before-uk-vote/ar-BB1plQwl",
        "image": "https://img-s-msn-com.akamaized.net/tenant/amp/entityid/BB1plZil.img?w=2000&h=1333&m=4&q=79",
        "source": "Bloomberg on MSN.com",
    },
    ...,
]

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5. books()

def books(
    query: str,
    max_results: int | None = 10,
    page: int = 1,
    backend: str = "auto",
) -> list[dict[str, str]]:
    """DDGS books metasearch.

    Args:
        query: news search query.
        max_results: maximum number of results. Defaults to 10.
        page: page of results. Defaults to 1.
        backend: A single or comma-delimited backends. Defaults to "auto".

    Returns:
        List of dictionaries with news search results.
    """

Example

results = DDGS().books(query="sea wolf jack london", page=1, backend="auto")
print(results)
[
    {
        "title": "The Sea-Wolf",
        "author": "Jack London",
        "publisher": "DigiCat, 2022",
        "info": "English [en], .epub, 🚀/zlib, 0.5MB, 📗 Book (unknown)",
        "url": "https://annas-archive.li/md5/574f6556f1df6717de4044e36c7c2782",
        "thumbnail": "https://s3proxy.cdn-zlib.sk//covers299/collections/userbooks/da4954486be7c2b2b9f70b2aa5bcf01292de3ea510b5656f892821950ded9ada.jpg",
    },
    ...,
]

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6. extract()

Fetch a URL and extract its content in various formats.

def extract(
    url: str,
    fmt: str = "text_markdown",
) -> dict[str, str | bytes]:
    """Fetch a URL and extract its content.

    Args:
        url: The URL to fetch and extract content from.
        fmt: Output format:
            "text_markdown" (HTML→Markdown, preserves links/headers/lists),
            "text_plain" (HTML→plain text),
            "text_rich" (HTML→rich text with headers/lists),
            "text" (raw HTML),
            "content" (raw bytes).

    Returns:
        Dictionary with 'url' and 'content' keys.
    """

Examples

# Markdown (default) - preserves links, headers, lists
result = DDGS().extract("https://example.com")
print(result)
{"url": "https://example.com", "content": "# Example Domain\n\nThis domain is for use in..."}

# Plain text
result = DDGS().extract("https://example.com", fmt="text_plain")

# Rich text (headers/lists, no link URLs)
result = DDGS().extract("https://example.com", fmt="text_rich")

# Raw HTML
result = DDGS().extract("https://example.com", fmt="text")

# Raw bytes
result = DDGS().extract("https://example.com", fmt="content")

CLI

ddgs extract -u https://example.com
ddgs extract -u https://example.com -f text_plain
ddgs extract -u https://example.com -f content -o output.json

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Disclaimer

This library is for educational purposes only.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.