SerpApi MCP — wraps SerpApi (serpapi.com) search engines
If you already use MCP, the mcp mcp server is the piece that lets your assistant work with it directly. SerpApi MCP — wraps SerpApi (serpapi.com) search engines.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
serpapi_google_scholar — Search Google Scholar for academic papers on — returns title, link, snippet, publication info, and citation count via SerpApi. Exampleserpapi_google_maps — Find local businesses on Google Maps for — returns name, address, rating, reviews, phone, website, and GPS coordinates via SerpApi. Exampleserpapi_google_trends — Get Google Trends interest-over-time for — returns the requested trends block (interest over time, by region, or related queries) viaserpapi_google_jobs — Search Google Jobs for — returns title, company, location, source, posted date, schedule, description, and apply link via SerpApi. Exampleserpapi_google_news — Search Google News for — returns headline, source, link, date, and snippet via SerpApi. Example: serpapi_google_news({ q: "openai", gl: "us"serpapi_google_shopping — Search Google Shopping for — returns product title, price, source, rating, reviews, product ID, and link via SerpApi. ExampleThis sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP's toolset — serpapi_google_scholar, serpapi_google_maps, serpapi_google_trends and 3 more — is a fair guide to whether it matches your workflow. It is maintained by mojibake-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| 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, |
| 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 |
| 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 |
| 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", _apiKe |
| 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-s |
{
"mcpServers": {
"serpapi": {
"url": "https://gateway.pipeworx.io/serpapi/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.