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  3. Agentsearch Mcp
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Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/11/2026, 12:03:11 AM

Agentsearch Mcp

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

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claude_desktop_config.json
{
  "mcpServers": {
    "agentsearch-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "agentsearch-mcp"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

agentsearch-mcp

A remote MCP (Model Context Protocol) connector for AgentSearch API β€” an LLM/MCP-native web toolkit for agents and RAG pipelines: web search (provider-abstracted SERP), keyless instant answers, and URL β†’ clean text/markdown fetch ready for an LLM context window.

Live: https://agentsearch-mcp.vercel.app/mcp β€” 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 (AGENTSEARCH_MCP_PROXY_SECRET, sent as the X-RapidAPI-Proxy-Secret header) and applies a soft per-IP rate limit (AGENTSEARCH_MCP_RATE_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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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):

ToolAgentSearch endpointDescription
web_searchGET /v1/searchWeb SERP via a provider-abstracted backend (Brave or Serper). Returns normalized results with position/title/url/snippet/domain.
instant_answerGET /v1/answerKeyless DuckDuckGo instant answer β€” definitions, entities, quick facts.
fetch_urlGET /v1/fetchKeyless, SSRF-guarded URL β†’ clean, boilerplate-free text or markdown for RAG.

All 3 tools are read-only and annotated { readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: true } β€” none of them write anything, and all of them reflect live, externally-changing web data.

How it wraps agentsearch-api

Each tool handler does a plain fetch(\${AGENTSEARCH_MCP_API_BASE_URL}${path}`, ...)` against the real AgentSearch REST API and returns the parsed JSON as MCP tool-result content:

JSON Config
{ content: [{ type: 'text', text: JSON.stringify(result, null, 2) }] }

The outbound request carries X-RapidAPI-Proxy-Secret: <AGENTSEARCH_MCP_PROXY_SECRET> so it passes the upstream guard on /v1/*. Upstream HTTP errors (4xx/5xx) are caught and surfaced as a typed MCP error result via an asError helper rather than crashing the request.

Environment variables

VarDefaultPurpose
AGENTSEARCH_MCP_API_BASE_URLhttps://agentsearch-api.vercel.appUpstream AgentSearch base URL (override for local/self-hosted testing).
AGENTSEARCH_MCP_PROXY_SECRET(empty)RapidAPI proxy secret, sent as X-RapidAPI-Proxy-Secret to pass the upstream /v1/* guard. Without it, guarded routes return 403.
AGENTSEARCH_MCP_RATE_LIMIT30Soft per-IP tools/call cap per hour (in-memory, per serverless instance).

Project layout

Code
api/mcp.js       MCP endpoint (StreamableHTTPServerTransport, stateless, no MCP-caller auth)
api/health.js    GET /api/health
lib/tools.js     All 3 tool definitions (zod schemas + fetch-and-forward handlers, proxy-secret auth)
lib/ratelimit.js Soft per-IP tools/call rate limiter
local-server.js  Plain-Node http server for local dev / smoke testing (not deployed)
test/smoke.mjs   Real end-to-end smoke test (initialize, tools/list, tools/call)
vercel.json      Routes /mcp -> api/mcp.js, /health -> api/health.js
server.json      MCP registry manifest

Local development

Terminal
npm install
npm run dev          # starts local-server.js on :3900
npm run smoke        # runs test/smoke.mjs against the local server

To exercise a real end-to-end fetch through the upstream guard, set the proxy secret first:

server.ts
export AGENTSEARCH_MCP_PROXY_SECRET=<the RapidAPI proxy secret>
npm run dev &
npm run smoke

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Frequently Asked Questions about Agentsearch Mcp

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "agentsearch-mcp": { "command": "npx", "args": ["-y", "agentsearch-mcp"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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