DDGS
Metasearch Python library that aggregates results from multiple search engines (Bing, Brave, DuckDuckGo, Google, Mojeek, Yandex, Yahoo, Wikipedia) into a unified interface. Supports text, image, video, news, and book searches. Includes an MCP server with HTTP and SSE transports, plus a standalone API server.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
DuckDuckGo search MCP. No API key needed. Privacy-preserving search. No tracking of queries. Low security risk. Rate limits enforced informally.
⚡ Reliability
Best When
You need free, multi-engine web search for AI agents without paying per-query API fees to commercial search providers.
Avoid When
You need guaranteed uptime, official API access with SLAs, or very high query volumes. Commercial search APIs (Tavily, Brave Search API) may be more reliable.
Use Cases
- • AI agent web search via MCP without per-query API costs
- • Aggregated multi-engine search for better coverage
- • News monitoring and research across multiple sources
- • Image and video search for AI workflows
- • Book discovery via Anna's Archive integration
Not For
- • High-volume production search (may hit rate limits from upstream engines)
- • Guaranteed search result freshness or completeness
- • Enterprise search with SLAs
Interface
Authentication
No authentication required. Uses upstream search engines directly without API keys. Proxy support available for rate limit avoidance.
Pricing
MIT license. Completely free. Relies on scraping/unofficial access to search engines, which may break without notice.
Agent Metadata
Known Gotchas
- ⚠ Relies on unofficial/scraping access to search engines - may break without notice
- ⚠ Rate limits are opaque and depend on upstream engines
- ⚠ Results quality and availability varies by backend engine
- ⚠ MCP server requires running the API server separately (Docker or shell script)
- ⚠ Book search uses Anna's Archive which has legal/availability concerns in some jurisdictions
Alternatives
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Scores are editorial opinions as of 2026-03-07.