# DuckDuckGo Web Search

> Use this tool when you need to perform quick and customizable web searches with ease. It solves problems such as finding relevant information online, researching topics, and integrating web search functionality into applications. With a simple text query as input, it returns a list of relevant search results as output, making it a versatile solution for various use cases.

Canonical page: https://skillsregistry.net/skills/okdshin-duckduckgo-web-search  
JSON: https://api.skillsregistry.net/v1/skills/okdshin-duckduckgo-web-search

## Description

This MCP server implementation provides a web search capability using the DuckDuckGo search engine. Built with the FastMCP framework, it offers a single tool for performing text searches with customizable result limits. The server handles query processing, result formatting, and error handling, making it suitable for applications requiring quick and easy integration of web search functionality.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/okdshin-duckduckgo-web-search)
- **Repository:** <https://github.com/okdshin/duckduckgo_web_search_mcp_server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "okdshin-duckduckgo-web-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/okdshin-duckduckgo-web-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/okdshin-duckduckgo-web-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt