What can you do with this server?

The DuckDuckGo Search MCP server provides a privacy-friendly, AI-enhanced web search and content extraction tool with the following capabilities: * Web Search: Perform searches using DuckDuckGo, with options to specify page number and number of results * Felo AI Search: Access Felo AI for technical information and advanced search capabilities, with streaming response options * Fetch URL Content: Extract and filter content from URLs, with controls for maximum length, tag exclusion, and inclusion of links/images/main content * URL Metadata Extraction: Retrieve metadata such as title and description from web pages The server performs direct web scraping rather than relying on limited APIs and does not require API keys.

Which integrations are available for this server?

Enables web search functionality by scraping DuckDuckGo HTML results, providing more comprehensive search capabilities than limited APIs. Allows the MCP server to be installed and run through the npm package registry, making it easily accessible for AI assistants. Links to the OEvortex YouTube channel for updates and tutorials related to the MCP server.

How do I use DuckDuckGo Search MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@DuckDuckGo Search MCP search for latest AI developments in healthcare" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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DuckDuckGo Search MCP

by OEvortex

Overview Schema Related Servers Score Discussions

JavaScript

Remote

Quick Start

# Search from the command line
npx -y @oevortex/ddg_search@latest "your search query"

# Or install globally
npm install -g @oevortex/ddg_search
ddg "your search query"

Related MCP server: webmcp

Usage

CLI

# Basic web search (DuckDuckGo)
ddg "quantum computing"

# Get more results
ddg "latest news" -n 10

# AI-generated answer (IAsk)
ddg "explain recursion" -m ai

# AI-generated answer (Monica)
ddg "hello world" -m ai -b monica

# IAsk with options
ddg "gravity" -m ai --iask-mode academic --detail-level comprehensive

Flags

Flag	Description	Default
`-m, --mode`	`web` or `ai`	`web`
`-b, --backend`	`iask` or `monica` (AI mode only)	`iask`
`-n, --num-results`	Number of results (1-20, web mode)	`3`
`--iask-mode`	`question`, `academic`, `forums`, `wiki`, `thinking`	`thinking`
`--detail-level`	`concise`, `detailed`, `comprehensive`	—
`-h, --help`	Show help
`-v, --version`	Show version

MCP Server

Start the MCP server for use with Claude Desktop, OpenCode, or other MCP clients:

ddg --server

Claude Desktop config:

{
  "mcpServers": {
    "ddg-search": {
      "command": "npx",
      "args": ["-y", "@oevortex/ddg_search@latest"]
    }
  }
}

Global install config:

{
  "mcpServers": {
    "ddg-search": {
      "command": "ddg"
    }
  }
}

Programmatic API

import { searchDuckDuckGo } from '@oevortex/ddg_search/src/utils/search.js';
import { searchIAsk } from '@oevortex/ddg_search/src/utils/search_iask.js';
import { searchMonica } from '@oevortex/ddg_search/src/utils/search_monica.js';

// DuckDuckGo
const results = await searchDuckDuckGo("query", 5);

// IAsk AI
const answer = await searchIAsk("query", "thinking", null);

// Monica AI
const answer = await searchMonica("query");

MCP Tool Schema

Single unified tool web-search:

Parameter	Type	Default	Description
`query`	string	required	Search query
`mode`	`"web"` \| `"ai"`	`"web"`	DuckDuckGo results or AI answer
`backend`	`"iask"` \| `"monica"`	`"iask"`	AI backend (mode=ai only)
`numResults`	integer	`3`	Results count (web mode, 1-20)
`iaskMode`	string	`"thinking"`	IAsk mode (backend=iask only)
`detailLevel`	string	—	IAsk detail level (backend=iask only)

Agent Prompt

Add this to your agent's system prompt to enable web search:

When you need to search the web or find current information, use the DDG Search CLI:

  npx -y @oevortex/ddg_search@latest "<query>" -m ai

This runs an AI-powered web search via IAsk. For standard DuckDuckGo results (titles + URLs + snippets), use mode "web" instead:

  npx -y @oevortex/ddg_search@latest "<query>" -m web -n 5

For a different AI backend (Monica), add -b monica. Use this for any research, fact-checking, or current events task.

Proxy Support

Respects HTTP_PROXY, HTTPS_PROXY, and NO_PROXY environment variables automatically.

HTTPS_PROXY=http://proxy:8080 ddg "search query"

Install

npm install -g @oevortex/ddg_search

Or use npx without installing.

Project Structure

bin/cli.js              CLI entry point
src/
  index.ts              MCP server
  tools/
    searchTool.js       Unified search tool
  utils/
    search.js           DuckDuckGo scraper
    search_iask.js      IAsk AI client
    search_monica.js    Monica AI client
    user_agents.js      User agent rotation
skills/
  ddg-search/           Agent skill for marketplace

Contributing

Pull requests welcome. Open an issue for bugs or feature requests.

License

Apache 2.0

Available Tools

1 tool

web-searchWeb SearchA

Read-only

Search the web. Use mode="web" for standard DuckDuckGo results (titles, URLs, snippets). Use mode="ai" for AI-generated answers — pick backend="iask" (default) or backend="monica".

ParametersJSON Schema

Name	Required	Description	Default
`mode`	No	Search mode. "web" returns DuckDuckGo search results. "ai" returns an AI-generated answer.	web
`query`	Yes	The search query or question.
`backend`	No	AI backend when mode="ai": "iask" or "monica". Ignored in web mode.	iask
`iaskMode`	No	IAsk mode when backend="iask": "question", "academic", "forums", "wiki", or "thinking". Default: "thinking".	thinking
`numResults`	No	Number of web results (1-20). Web mode only. Default: 3.
`detailLevel`	No	IAsk detail level when backend="iask": "concise", "detailed", or "comprehensive".

TDQS

A4.2/5.0

Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, so the tool is inherently read-only. The description adds behavioral context: what each mode returns (titles/URLs/snippets vs. AI answer), default backends, and that mode can be chosen. No contradictions; description supplements annotations well.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—two short sentences. It is front-loaded with the primary action and uses line breaks for readability. Every phrase adds value; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description adequately covers return types per mode. It mentions key parameters (mode, backend) but omits mentioning 'numResults' for web mode or 'iaskMode'/'detailLevel' for AI mode. However, since the schema provides full descriptions and the tool is simple, completeness is high but not perfect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds minimal parameter semantics beyond the schema, only noting the default value for 'backend'. It does not elaborate on 'numResults', 'iaskMode', or 'detailLevel', but the schema descriptions are already sufficient. Hence score 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Search the web.' It distinguishes two modes with specific outputs: 'mode="web" for standard DuckDuckGo results (titles, URLs, snippets)' and 'mode="ai" for AI-generated answers'. This provides a specific verb (search) and resource (web), and differentiates the major modes effectively.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use each mode: 'Use mode="web" for standard DuckDuckGo results' and 'Use mode="ai" for AI-generated answers'. It also provides guidance on backend selection for AI mode. With no sibling tools, no explicit when-not is necessary, but the guidance is clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

3 tool updatesv1.4.0Jul 13, 2026

Removediask-search
Removedmonica-search

Changedweb-search8 fields changed

addedInput schema / properties / backend

Added value: +{
+  "default": "iask",
+  "description": "AI backend when mode=\"ai\": \"iask\" or \"monica\". Ignored in web mode.",
+  "enum": [
+    "iask",
+    "monica"
+  ],
+  "type": "string"
+}

addedInput schema / properties / detailLevel

Added value: +{
+  "description": "IAsk detail level when backend=\"iask\": \"concise\", \"detailed\", or \"comprehensive\".",
+  "enum": [
+    "concise",
+    "detailed",
+    "comprehensive"
+  ],
+  "type": "string"
+}

addedInput schema / properties / iaskMode

Added value: +{
+  "default": "thinking",
+  "description": "IAsk mode when backend=\"iask\": \"question\", \"academic\", \"forums\", \"wiki\", or \"thinking\". Default: \"thinking\".",
+  "enum": [
+    "question",
+    "academic",
+    "forums",
+    "wiki",
+    "thinking"
+  ],
+  "type": "string"
+}

changedInput schema / properties / mode / default
```
Previous value: -"short"New value: +"web"
```

changedInput schema / properties / mode / description

Previous value: -"Choose 'short' for basic results (no Description) or 'detailed' for full results (includes Description)."New value: +"Search mode. \"web\" returns DuckDuckGo search results. \"ai\" returns an AI-generated answer."

changedInput schema / properties / mode / enum

Previous value: -[
-  "short",
-  "detailed"
-]New value: +[
+  "web",
+  "ai"
+]

changedInput schema / properties / numResults / description

Previous value: -"Specify how many results to display (default: 3, maximum: 20)."New value: +"Number of web results (1-20). Web mode only. Default: 3."

changedInput schema / properties / query / description

Previous value: -"Enter your search query to find the most relevant web pages."New value: +"The search query or question."

6 tool updatesv1.0.0Jan 2, 2026

Removedfelo-search
Removedfetch-url
Addediask-search
Addedmonica-search
Removedurl-metadata

Changedweb-search5 fields changed

addedInput schema / properties / mode

Added value: +{
+  "default": "short",
+  "description": "Choose 'short' for basic results (no Description) or 'detailed' for full results (includes Description).",
+  "enum": [
+    "short",
+    "detailed"
+  ],
+  "type": "string"
+}

changedInput schema / properties / numResults / default
```
Previous value: -10New value: +3
```

changedInput schema / properties / numResults / description

Previous value: -"Number of results to return (default: 10)"New value: +"Specify how many results to display (default: 3, maximum: 20)."

removedInput schema / properties / page

Removed value: -{
-  "default": 1,
-  "description": "Page number (default: 1)",
-  "minimum": 1,
-  "type": "integer"
-}

changedInput schema / properties / query / description

Previous value: -"The search query"New value: +"Enter your search query to find the most relevant web pages."

4 tool updatesAug 18, 2025
- First observedfelo-search
- First observedfetch-url
- First observedurl-metadata
- First observedweb-search

Install Server

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TDQS

A4/5.0

Disambiguation5/5

Only one tool exists, so there is no possibility of confusion between tools. The two modes are clearly described within the single tool.

Naming Consistency5/5

With a single tool named 'web-search', the naming is self-consistent and follows a clear verb-noun pattern.

Tool Count2/5

A search server with only one tool feels too thin for the domain. Typically, separate tools for different search types (web, images, news, etc.) would be expected.

Completeness2/5

The single tool covers web and AI search but misses common search categories like images, news, and video, leaving notable gaps for typical search use cases.

Maintenance

ActivitySlowing

ResponsivenessSlow

Resources

Need Help?

Reddit Discussion

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