duckduckgo
Serveur MCP DuckDuckGo — un outil de recherche web léger et sans authentification pour les agents IA. Fournit des résultats de recherche structurés (titre, URL, extrait) via une API simple compatible MCP, optimisée pour une intégration rapide dans les flux de travail LLM.
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Documentation
🚀 DuckDuckGo MCP Server
A lightweight MCP-compatible tool that enables AI agents to perform real-time web searches and retrieve structured results.
🔍 What It Does
This tool allows AI systems to search the web and get:
- Relevant page titles
- Direct URLs
- Concise snippets for context Designed for seamless integration into agent workflows and LLM pipelines.
✨ Key Features
- 🌐 Real-time web search
- 📦 Structured, LLM-friendly responses
- ⚡ Fast and minimal interface
- 🔓 No authentication required
- 🤖 MCP-compatible tool schema
🧠 Why Use This
- Add live web knowledge to AI agents
- Improve answer accuracy with fresh data
- Enable research and browsing capabilities
- Simple drop-in tool for MCP ecosystems
🛠️ Available Tool
search
Search the web and return relevant results.
Input
json{
"query": "string"
}
Output
json{
"results": [
{
"title": "string",
"url": "string",
"snippet": "string"
}
]
}
🔌 How to Use
1. Discover tools
GET /tools
Returns available tools and their schemas.
2. Execute search
POST /tools/search
Example
json{
"query": "latest AI news"
}
⚡ Example Response
json{
"results": [
{
"title": "Latest AI Developments",
"url": "https://example.com",
"snippet": "Recent advancements in artificial intelligence..."
}
]
}
🎯 Ideal For
- AI agents and copilots
- Research assistants
- RAG pipelines
- Developer tools and MCP marketplaces
⚠️ Notes
- Results are optimized for relevance and readability
- Best used where fresh external information is required
- Response format is stable and predictable for LLM usage
💡 Summary
A simple, effective way to give AI systems real-time web search capability through a clean MCP interface.