Agentsearch MCP server
online · 100% uptimeLLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Agentsearch tools (3)
write = sends, deletes, buys or postsfetch_urlFreeFetches 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.
instant_answerFreeDuckDuckGo 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.
web_searchFreeSearch 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.
Public scan report
scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 229ms20/20
- Tool poisoning3 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 54 days ago12/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Agentsearch compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 87/100
- higher than 78% of 4,460 AI and agents servers
- Tools
- 3
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 208 ms
- faster than 64% of 2,331 AI and agents servers
What its tools let an agent do: 3 read
Install Agentsearch in Claude Code, Cursor or VS Code
claude mcp add --transport http agentsearch-mcp https://agentsearch-mcp.vercel.app/mcp
What the publisher says
From the Agentsearch repository's README, as published. We do not edit it. Read it on GitHub
agentsearch-mcp
A remote MCP (Model Context Protocol) connector for AgentSearch API — an LLM/MCP-native web toolkit for agents and RAG pipelines: web search (provider-abstracted SERP), keyless instant answers, and URL → clean text/markdown fetch ready for an LLM context window.
Live: https://agentsearch-mcp.vercel.app/mcp — 3 tools, one per AgentSearch /v1 endpoint. Since the upstream AgentSearch deployment is metered (RapidAPI/Apify) and gates /v1/ behind a RapidAPI proxy-secret guard, this connector authenticates its own outbound calls with that same secret (AGENTSEARCHMCPPROXYSECRET, sent as the X-RapidAPI-Proxy-Secret header) and applies a soft per-IP rate limit (AGENTSEARCHMCPRATE_LIMIT, default 30 tool-calls/hour, in-memory) so the free MCP tier stays a discovery channel rather than an unmetered bypass of the paid listing — see lib/ratelimit.js.
What this is, and why it's a separate connector
AgentSearch API is a plain REST API. Any HTTP client can already call it directly. This repo exists because MCP clients (Claude, ChatGPT, and other MCP-aware agents) don't consume arbitrary REST APIs — they consume MCP tools. agentsearch-mcp is a thin adapter layer that:
- Exposes each AgentSearch endpoint as a discoverable, typed MCP tool (name, description, zod input schema, annotations) that an LLM can reason about and call directly, instead of having to be taught the REST surface out-of-band.
- Speaks the MCP streamable-HTTP transport at a single /mcp endpoint, so it can be registered as a connector in Claude, ChatGPT, or any other MCP client with one URL.
- Does nothing else. It has no business logic of its own — every tool call is a pass-through fetch to AgentSearch, and the JSON response AgentSearch returns is handed back verbatim as the tool result.
Free discovery tier over a metered API
This connector is a free discovery/growth tier in front of the metered AgentSearch API. The upstream (agentsearch-api.vercel.app) is sold on RapidAPI/Apify; this MCP wrapper authenticates to it with the shared RapidAPI proxy secret and caps usage per-IP so it stays a taste-test rather than an unmetered path around the paid plans. Heavy/production volume should go through AgentSearch on RapidAPI/Apify.
Authentication: None on the MCP side (deliberate)
AgentSearch's data has no per-user dimension — it's public web data (SERP results, DuckDuckGo instant answers, cleaned page text). There is nothing to gate per-caller, so this connector intentionally ships with:
- No OAuth, no login, no bearer tokens for the MCP caller
- No Supabase / database
- No demo-vs-real account split — every caller gets the same real, live data
api/mcp.js builds a fresh, stateless McpServer per request and serves it with zero MCP-caller auth checks. The only outbound auth is the upstream RapidAPI proxy secret described above, which the connector holds server-side.
Tool list
One tool per AgentSearch /v1 endpoint (from agentsearch-api/openapi.yaml; /api/health is intentionally not wrapped):
All 3 tools are read-only and annotated { readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: true } — none of them write anything, and all of them reflect live, externally-changing web data.
How it wraps agentsearch-api
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Agentsearch: common questions
- Is Agentsearch MCP server safe?
- Yes, by our scan: it is graded A (87/100). Read the Agentsearch safety report
- How do I install Agentsearch?
- It runs remotely at agentsearch-mcp.vercel.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Agentsearch need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Agentsearch maintained?
- The last commit was 95 days ago (2026-08-01). The latest release is v1.0.0.
- Is Agentsearch up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Agentsearch?
- Servers from other publishers that do the same job: DataSinking MCP server, agent-device MCP server and PaperBanana MCP server.
- How does Agentsearch compare with other AI and agents MCP servers?
- safety score 87/100 (higher than 78% of 4,460 AI and agents servers); tools 3 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Agentsearch
Same job from other publishers: the closest match first, then the best rated.
- DataSinkingFull-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.not reviewedEstablishedA
- agent-deviceOpen source device layer for AI agents: control mobile, web, TV, and desktop apps over MCPnot reviewedWidely usedA
- PaperBananaGenerate academic diagrams and statistical plots from text using multi-agent AI.not reviewedEstablishedA
- Local RagEasy-to-setup local RAG server with minimal configurationnot reviewedEstablishedA
- Butterbase AIButterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.not reviewedEstablishedA