MCP.Market

Agentsearch MCP server

online · 100% uptime
by IsaiahDupree·io.github.IsaiahDupree/agentsearch-mcp·v1.0.0

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

A87/100grade A
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Safety scan
A87/100

full report

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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 posts
  • fetch_urlFree

    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.

  • instant_answerFree

    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.

  • web_searchFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • –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
Overall 87/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

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
Add to Cursor

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.

  • DataSinking
    Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.
    A
  • agent-device
    Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
    A
  • PaperBanana
    Generate academic diagrams and statistical plots from text using multi-agent AI.
    A
  • Local Rag
    Easy-to-setup local RAG server with minimal configuration
    A
  • Butterbase AI
    Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.
    A

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