Keyless-first MCP for better web research — DuckDuckGo out of the box, Brave/Tavily optional, 3-tier extraction (HTTP → hydration → Playwright)
View on GitHub ↗Homepage ↗Keyless-first web search for AI agents. DuckDuckGo works out of the box. No API keys.
BetterWebSearch MCP is a Model Context Protocol server that gives AI assistants genuinely better web research. It works without API keys by default (DuckDuckGo), and optionally adds Brave or Tavily for richer ranking and recency.
Built for anyone who wants their AI tools to find things on the web reliably, not just when a paid API key is configured.
Add this to your MCP client config (Claude Desktop, Cursor, VS Code Copilot, OpenCode, or any MCP client):
That's it. Every search tool works immediately. No .env, no API keys, no setup.
Tool What it does ------ websearch Aggregated search across providers, deduplicated and reranked webresearch Deep research. Rewrites your question, searches in parallel, extracts top results with citations deepsearch Alias for webresearch webextract Extracts clean content from any URL, using the best method available webfind Search scoped to a single website webnews Recent news with timeline and diversity filtering
Standard MCP search tools hit one API and return raw results. BetterWebSearch takes a different approach.
Query expansion. Your single question gets rewritten into 4 to 6 variants, searched in parallel. "Unlimited mobile internet Germany" also searches for "unbegrenztes Datenvolumen Deutschland" and similar phrasings. More coverage without you doing extra work.
From the project README.
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