About Serpapi
Serpapi wraps SerpApi search engines as an MCP server for users needing academic, maps, trends, jobs, news, or shopping results. Calls require the user's own SerpApi API key; it is available through the Pipeworx gateway or as a local stdio server.
Key features
- 01Google Scholar paper search
- 02Google Maps business search
- 03Google Trends interest data
- 04Google Jobs listings search
- 05Google News and Shopping search
Use cases
- 01Find papers and citation details
- 02Search local businesses and contact details
- 03Check keyword trends by region
- 04Find jobs, news, or products
MCP support
Exposes SerpApi academic, maps, trends, jobs, news, and shopping search tools to MCP clients. Calls require a user-provided SerpApi API key; the server can be reached through Pipeworx or run locally over stdio.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://gateway.pipeworx.io/serpapi/mcpclaude mcp add --transport http pipeworx-io-serpapi https://gateway.pipeworx.io/serpapi/mcp{"mcpServers":{"pipeworx-io-serpapi":{"type":"http","url":"https://gateway.pipeworx.io/serpapi/mcp"}}}Open in Cursor{"servers":{"pipeworx-io-serpapi":{"type":"http","url":"https://gateway.pipeworx.io/serpapi/mcp"}}}Open in VS Code{"mcpServers":{"pipeworx-io-serpapi":{"type":"http","url":"https://gateway.pipeworx.io/serpapi/mcp"}}}{"mcpServers":{"pipeworx-io-serpapi":{"serverUrl":"https://gateway.pipeworx.io/serpapi/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEmcp-serpapi
SerpApi MCP — wraps SerpApi (serpapi.com) search engines
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
Tools
| Tool | Description |
|---|---|
serpapi_google_scholar | Search Google Scholar for academic papers on <topic> — returns title, link, snippet, publication info, and citation count via SerpApi. Example: serpapi_google_scholar({ q: "graph neural networks", as_ylo: 2020, num: 10, _apiKey: "your-serpapi-key" }) |
serpapi_google_maps | Find local businesses on Google Maps for <query> — returns name, address, rating, reviews, phone, website, and GPS coordinates via SerpApi. Example: serpapi_google_maps({ q: "coffee shops", ll: "@40.7,-74.0,14z", _apiKey: "your-serpapi-key" }) |
serpapi_google_trends | Get Google Trends interest-over-time for <terms> — returns the requested trends block (interest over time, by region, or related queries) via SerpApi. Example: serpapi_google_trends({ q: "bitcoin,ethereum", date: "today 12-m", geo: "US", _apiKey: "your-serpapi-key" }) |
serpapi_google_jobs | Search Google Jobs for <query> — returns title, company, location, source, posted date, schedule, description, and apply link via SerpApi. Example: serpapi_google_jobs({ q: "data engineer", location: "Austin, TX", _apiKey: "your-serpapi-key" }) |
serpapi_google_news | Search Google News for <query> — returns headline, source, link, date, and snippet via SerpApi. Example: serpapi_google_news({ q: "openai", gl: "us", hl: "en", _apiKey: "your-serpapi-key" }) |
serpapi_google_shopping | Search Google Shopping for <query> — returns product title, price, source, rating, reviews, product ID, and link via SerpApi. Example: serpapi_google_shopping({ q: "wireless earbuds", gl: "us", hl: "en", _apiKey: "your-serpapi-key" }) |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"serpapi": {
"url": "https://gateway.pipeworx.io/serpapi/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/serpapi/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
This pack takes your own API key (_apiKey) — we don't front one for it, so there's no curl here that would run without it. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/serpapi_google_scholar. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"serpapi": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-serpapi"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-serpapi
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Serpapi data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.