agentsearch-mcp
Provides web search through the AgentSearch API using Brave as a provider-abstracted backend, returning normalized SERP results with position, title, URL, snippet, and domain.
Provides keyless instant answers from DuckDuckGo via the AgentSearch API, including definitions, entities, and quick facts.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agentsearch-mcpSearch the web for recent breakthroughs in quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 (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 — 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
/mcpendpoint, 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
fetchto AgentSearch, and the JSON response AgentSearch returns is handed back verbatim as the tool result.
Related MCP server: websearch-skill
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):
Tool | AgentSearch endpoint | Description |
|
| Web SERP via a provider-abstracted backend (Brave or Serper). Returns normalized results with position/title/url/snippet/domain. |
|
| Keyless DuckDuckGo instant answer — definitions, entities, quick facts. |
|
| Keyless, SSRF-guarded URL → clean, boilerplate-free text or markdown for RAG. |
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
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:
{ 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
Var | Default | Purpose |
|
| Upstream AgentSearch base URL (override for local/self-hosted testing). |
| (empty) | RapidAPI proxy secret, sent as |
|
| Soft per-IP |
Project layout
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 manifestLocal development
npm install
npm run dev # starts local-server.js on :3900
npm run smoke # runs test/smoke.mjs against the local serverTo exercise a real end-to-end fetch through the upstream guard, set the proxy secret first:
export AGENTSEARCH_MCP_PROXY_SECRET=<the RapidAPI proxy secret>
npm run dev &
npm run smokeThis server cannot be deployed
Maintenance
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Agent-driven search: build, import, tune, search, and score result quality — all over MCP.
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