DuckDuckGo Search Tools

DuckDuckGo privacy-focused web search

Overview

DuckDuckGo Search Tools gives AI agents access to the duckduckgo search api — the privacy-focused search engine that does not track users, store search history, or personalise results based on prior behaviour or profiles, making it the most requested duck duck go api integration for privacy-sensitive AI applications and neutral research pipelines.

It acts as a standardized bridge between large language models and unfiltered, neutral web search results. Because DuckDuckGo does not apply personalisation or filter bubbles, the results from a duckduckgo api query reflect an objective, unbiased view of how the web ranks content — free from the behavioural targeting that shapes results on other engines.

By integrating DuckDuckGo Search Tools, developers enable AI agents to:

• Execute privacy-neutral web searches using search_web and receive unfiltered organic results with no user tracking • Access search results free from personalisation bias — the same neutrality that makes duckduckgo api python scripts popular for research automation • Retrieve results from a distinct index that often surfaces sources ranked differently than Google or Bing • Build privacy-sensitive agent workflows where user search behaviour must not be logged, tracked, or stored

DuckDuckGo is valuable for cross-engine result comparison pipelines, privacy-first research applications, neutral SERP analysis tools, and any agent workflow where unbiased, untracked duckduckgo search api results are a functional or compliance requirement.

Highlights

Protocol

MCP v1.0

Security

OAuth 2.0

Access

Real-time

Tools

1 Tools

Standardized bridge for real-time model context.

Installation

Connect this server to your local or remote agent environment.

mcp_config.json

{
  "mcpServers": {
    "mcp360": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://connect.mcp360.ai/v1/duckduckgo-search/mcp?token=YOUR_API_KEY"
      ]
    }
  }
}

Replace YOUR_API_KEY with your actual key from the dashboard.

Available Tools

Technical specifications for the 1 available protocol tools.

1 tools

search_web tool

Input Specification

{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "safe": {
      "enum": [
        "on",
        "moderate",
        "off"
      ],
      "type": "string",
      "description": "Safe search filter level"
    },
    "query": {
      "type": "string",
      "description": "Search query"
    },
    "locale": {
      "type": "string",
      "description": "Country/language locale (e.g., 'us-en', 'uk-en', 'de-de')"
    },
    "time_period": {
      "enum": [
        "any_time",
        "past_day",
        "past_week",
        "past_month",
        "past_year"
      ],
      "type": "string",
      "description": "Filter results by time period"
    },
    "next_page_token": {
      "type": "string",
      "description": "Token for pagination"
    }
  },
  "additionalProperties": false
}

Output Response

{
  "type": "object",
  "properties": {
    "ads": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "link": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "source": {
            "type": "string"
          },
          "favicon": {
            "type": "string"
          },
          "snippet": {
            "type": "string"
          },
          "position": {
            "type": "number"
          },
          "tracking_link": {
            "type": "string"
          },
          "snippet_highlighted_words": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      }
    },
    "pagination": {
      "type": "object",
      "properties": {
        "next_page_token": {
          "type": "string"
        }
      }
    },
    "ai_overview": {
      "type": "object",
      "properties": {
        "answer": {
          "type": "string"
        },
        "sources": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "link": {
                "type": "string"
              },
              "title": {
                "type": "string"
              },
              "source": {
                "type": "string"
              }
            }
          }
        }
      }
    },
    "inline_videos": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "date": {
            "type": "string"
          },
          "link": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "views": {
            "type": "number"
          },
          "source": {
            "type": "string"
          },
          "channel": {
            "type": "string"
          },
          "duration": {
            "type": "string"
          },
          "position": {
            "type": "number"
          },
          "thumbnail": {
            "type": "string"
          },
          "video_link": {
            "type": "string"
          },
          "description": {
            "type": "string"
          }
        }
      }
    },
    "organic_results": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "date": {
            "type": "string"
          },
          "link": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "favicon": {
            "type": "string"
          },
          "snippet": {
            "type": "string"
          },
          "position": {
            "type": "number"
          },
          "snippet_highlighted_words": {
            "type": "array",
            "items": {
              "type": "string"
            }
          }
        }
      }
    },
    "related_searches": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "link": {
            "type": "string"
          },
          "query": {
            "type": "string"
          }
        }
      }
    },
    "search_parameters": {
      "type": "object",
      "properties": {
        "q": {
          "type": "string"
        },
        "safe": {
          "type": "string"
        },
        "engine": {
          "type": "string"
        },
        "locale": {
          "type": "string"
        },
        "time_period": {
          "type": "string"
        }
      }
    }
  }
}

Direct API Access

Production-ready REST endpoints for custom integrations.

POSTServer Metadata

/api/v1/duckduckgo-search

curl "https://connect.mcp360.ai/api/v1/duckduckgo-search" \
  -H "Authorization: Bearer YOUR_API_KEY"

POSTExecute Tool

/api/v1/duckduckgo-search/{tool_name}

curl -X POST "https://connect.mcp360.ai/api/v1/duckduckgo-search/search_web" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "query": "string"
}'

Authentication

To authenticate, include your API key in the Authorization header using the Bearer scheme. Alternatively, you can use the X-API-KEY header.

Infrastructure

Unified MCP Gateway

One hub for 100+ production-ready tools with centralized management.

Unified API Key

Access 100+ MCP servers with a single authentication token.

Instant Testing

Test and debug any MCP server instantly in our integrated environment.

Centralized Billing

One monthly subscription for all your AI tool integrations and credits.

Scenarios

Standard Use Cases

Integrate the duckduckgo search api to add privacy-first web search to applications without tracking user queries or storing personal data

Use the duckduckgo api to retrieve instant answers, topic summaries, and related links for AI assistants and knowledge-base tools

Build duckduckgo api python scripts that automate query batches for research pipelines that require anonymous, unfiltered search results

Power duckduckgo image search api lookups to surface contextually relevant visuals without exposing users to behavioral advertising

Embed DuckDuckGo search results into browser extensions, productivity tools, or chat interfaces that prioritize user privacy by design

Frequently Asked Questions

What is DuckDuckGo Search Tools?

DuckDuckGo Search Tools is an MCP server that provides structured access to duckduckgo search tools capabilities through a standardized protocol, enabling AI models to retrieve and process real-time data.

Which AI models are supported?

Any model that supports MCP protocol including Claude (via Claude Desktop), GPT-4, Gemini, and open-source LLMs through compatible frameworks.

How do I authenticate?

The server supports OAuth 2.0 authentication with API keys. You'll receive credentials upon registration which can be configured in your MCP client.

Is there rate limiting?

Yes, rate limits apply based on your subscription tier. Free tier includes generous limits for development, with higher limits available in paid plans.

Can I use this in production?

Absolutely. DuckDuckGo Search Tools is designed for production use with enterprise-grade reliability, security, and performance.

Deploy AI agent with DuckDuckGo Search Tools today.

Start building production-ready AI agent integrations in minutes with standardized protocol access.

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Enterprise Ready

Secure OAuth

24/7 Support