Server data from the Official MCP Registry
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
About
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Remote endpoints: streamable-http: https://agentsearch-mcp.vercel.app/mcp
Security Report
Valid MCP server (3 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (8/8 approved).
3 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-isaiahdupree-agentsearch-mcp": {
"url": "https://agentsearch-mcp.vercel.app/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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.
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_search | GET /v1/search | Web SERP via a provider-abstracted backend (Brave or Serper). Returns normalized results with position/title/url/snippet/domain. |
instant_answer | GET /v1/answer | Keyless DuckDuckGo instant answer — definitions, entities, quick facts. |
fetch_url | GET /v1/fetch | 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 |
|---|---|---|
AGENTSEARCH_MCP_API_BASE_URL | https://agentsearch-api.vercel.app | Upstream 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_LIMIT | 30 | Soft per-IP tools/call cap per hour (in-memory, per serverless instance). |
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 manifest
Local development
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:
export AGENTSEARCH_MCP_PROXY_SECRET=<the RapidAPI proxy secret>
npm run dev &
npm run smoke
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.
