`serpapi_google_scholar`

Pack: serpapi · Endpoint: https://gateway.pipeworx.io/serpapi/mcp

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” })

Parameters

Name	Type	Required	Description
`q`	string	yes	Search query / topic, e.g. “graph neural networks”
`as_ylo`	integer	no	Optional start year (results published from this year onward), e.g. 2020
`as_yhi`	integer	no	Optional end year (results published up to this year), e.g. 2024
`num`	integer	no	Max results to return (default 10, max 20)
`_apiKey`	string	yes	SerpApi API key (get one at serpapi.com)

Example call

Arguments

{
  "q": "graph neural networks",
  "as_ylo": 2020,
  "num": 10,
  "_apiKey": "your-serpapi-key"
}

curl

curl -X POST https://gateway.pipeworx.io/serpapi/mcp \
  -H 'Content-Type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"serpapi_google_scholar","arguments":{"q":"graph neural networks","as_ylo":2020,"num":10,"_apiKey":"your-serpapi-key"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('serpapi_google_scholar', {
  "q": "graph neural networks",
  "as_ylo": 2020,
  "num": 10,
  "_apiKey": "your-serpapi-key"
});

More examples

{
  "q": "transformer models in NLP",
  "as_ylo": 2022,
  "as_yhi": 2024,
  "_apiKey": "your-serpapi-key"
}

Connect

Add this to your MCP client config, or use one-click install buttons:

{
  "mcpServers": {
    "serpapi": {
      "url": "https://gateway.pipeworx.io/serpapi/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

serpapi_google_scholar