AM

Agentsearch MCP

io.github.IsaiahDupree/agentsearch-mcp

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Yes, your AI can use this right now.Answered a live MCP handshake in 205 ms with no sign-in needed and exposes 3 tools.
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Connect it

Settings → Connectors → Add custom connector
URL: https://agentsearch-mcp.vercel.app/mcp

3 tools, pulled live

Pulled straight from the server with tools/list on 2026-10-27.
web_searchread-only

Search the web via a provider-abstracted backend (Brave or Serper, configured operator-side). Returns normalized results, each with position, title, url, snippet, source, and domain, plus a meta envelope (cache state, provider, took_ms). Returns a provider_required error if no search provider key is configured upstream. Use this for a full web SERP; use instant_answer for quick facts/definitions.

instant_answerread-only

DuckDuckGo Instant Answer API — definitions, entities, and quick facts. Returns a normalized answer with heading, type (abstract/answer/disambiguation), source, sourceUrl, optional image/definition, and relatedTopics, plus a meta envelope. Not a full web SERP; use web_search for that. Works with no API key.

fetch_urlread-only

Fetches any public http(s) URL, strips boilerplate (scripts, nav, footer, ads), and returns clean text or markdown ready for an LLM context window. SSRF-guarded — refuses private/loopback/internal hosts. Returns url, title, format, length, content (and finalUrl when redirected, plus up to 50 extracted links when links=true), with a meta envelope. Works with no API key.

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