DuckDuckGo Search MCP
[!WICHTIG] DuckDuckGo Search MCP unterstützt den Model Context Protocol (MCP)-Standard und ist daher mit verschiedenen KI-Assistenten und -Tools kompatibel.
✨ Funktionen
[!WICHTIG] Im Gegensatz zu vielen Suchtools führt dieses Paket tatsächliches Web Scraping durch, anstatt begrenzte APIs zu verwenden, und liefert Ihnen umfassendere Ergebnisse.
Related MCP server: webmcp
🚀 Schnellstart
npx -y @oevortex/ddg_search@latest[!TIP] Dadurch wird die neueste Version des MCP-Servers direkt und ohne Installation heruntergeladen und ausgeführt – perfekt für die schnelle Verwendung mit KI-Assistenten.
🛠️ Installationsoptionen
npm install -g @oevortex/ddg_searchGlobal ausführen:
ddg-search-mcpgit clone https://github.com/OEvortex/ddg_search.git
cd ddg_search
npm install
npm start🧑💻 Befehlszeilenoptionen
npx -y @oevortex/ddg_search@latest --help[!TIP] Verwenden Sie das Flag --version, um zu überprüfen, welche Version Sie ausführen.
🤖 Verwendung mit MCP-Clients
[!WICHTIG] Die gängigste Verwendungsmethode für dieses Tool ist die Integration mit MCP-kompatiblen KI-Assistenten.
Fügen Sie den Server zu Ihrer MCP-Clientkonfiguration hinzu:
{
"mcpServers": {
"ddg-search": {
"command": "npx",
"args": ["-y", "@oevortex/ddg_search@latest"]
}
}
}Oder bei globaler Installation:
{
"mcpServers": {
"ddg-search": {
"command": "ddg-search-mcp"
}
}
}[!TIP] Starten Sie Ihren MCP-Client nach der Konfiguration neu, um die Änderungen zu übernehmen.
🧰 Tools-Übersicht
📁 Projektstruktur
bin/ # Command-line interface
src/
index.js # Main entry point
tools/ # Tool definitions and handlers
searchTool.js
fetchUrlTool.js
metadataTool.js
feloTool.js
utils/
search.js # Search and URL utilities
search_felo.js # Felo AI search utilities
package.json
README.md🤝 Beitragen
Beiträge sind willkommen! Bitte melden Sie Probleme oder senden Sie Pull Requests.
[!NOTE] Bitte folgen Sie dem vorhandenen Codestil und fügen Sie Tests für neue Funktionen hinzu.
📺 YouTube-Kanal
📄 Lizenz
Apache-Lizenz 2.0
[!NOTE] Dieses Projekt ist unter der Apache-Lizenz 2.0 lizenziert – weitere Informationen finden Sie in der Datei LICENSE.
Available Tools
1 toolweb-searchWeb SearchARead-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".
| 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
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.
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.
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.
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.
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.
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.
3 tool updates
v1.4.0- Removed
iask-search - Removed
monica-search - Changed
web-search8 fields changed- added
Input schema / properties / backendAdded value: +{ + "default": "iask", + "description": "AI backend when mode=\"ai\": \"iask\" or \"monica\". Ignored in web mode.", + "enum": [ + "iask", + "monica" + ], + "type": "string" +} - added
Input schema / properties / detailLevelAdded value: +{ + "description": "IAsk detail level when backend=\"iask\": \"concise\", \"detailed\", or \"comprehensive\".", + "enum": [ + "concise", + "detailed", + "comprehensive" + ], + "type": "string" +} - added
Input schema / properties / iaskModeAdded 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" +} - changed
Input schema / properties / mode / defaultPrevious value: -"short"New value: +"web" - changed
Input schema / properties / mode / descriptionPrevious 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." - changed
Input schema / properties / mode / enumPrevious value: -[ - "short", - "detailed" -]New value: +[ + "web", + "ai" +] - changed
Input schema / properties / numResults / descriptionPrevious value: -"Specify how many results to display (default: 3, maximum: 20)."New value: +"Number of web results (1-20). Web mode only. Default: 3." - changed
Input schema / properties / query / descriptionPrevious value: -"Enter your search query to find the most relevant web pages."New value: +"The search query or question."
6 tool updates
v1.0.0- Removed
felo-search - Removed
fetch-url - Added
iask-search - Added
monica-search - Removed
url-metadata - Changed
web-search5 fields changed- added
Input schema / properties / modeAdded value: +{ + "default": "short", + "description": "Choose 'short' for basic results (no Description) or 'detailed' for full results (includes Description).", + "enum": [ + "short", + "detailed" + ], + "type": "string" +} - changed
Input schema / properties / numResults / defaultPrevious value: -10New value: +3 - changed
Input schema / properties / numResults / descriptionPrevious value: -"Number of results to return (default: 10)"New value: +"Specify how many results to display (default: 3, maximum: 20)." - removed
Input schema / properties / pageRemoved value: -{ - "default": 1, - "description": "Page number (default: 1)", - "minimum": 1, - "type": "integer" -} - changed
Input schema / properties / query / descriptionPrevious value: -"The search query"New value: +"Enter your search query to find the most relevant web pages."
4 tool updates
- First observed
felo-search - First observed
fetch-url - First observed
url-metadata - First observed
web-search
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusion between tools. The two modes are clearly described within the single tool.
With a single tool named 'web-search', the naming is self-consistent and follows a clear verb-noun pattern.
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.
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.
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