A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).
Google PSE/CSE becomes available to MCP clients through the google pse/cse mcp server. A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).
A Model Context Protocol (MCP) server for the Google Programmable Search Engine (PSE) API. This server exposes tools for searching the web with Google Custom Search engine, making them accessible to MCP-compatible clients such as VSCode, Copilot, and Claude Desktop.
Once connected, the assistant can call this tool directly:
Parameters — - q (string, required): Search querySetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Search and scraping servers exist to fix the single most common failure of any assistant: answering from stale training data instead of what is on the web today. Google PSE/CSE sits in that group, and the shape of its toolset — Parameters — tells you what it is really for. Worth comparing against the other search web scraping servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Parameters | - q (string, required): Search query |
{
"mcpServers": {
"google-pse-mcp": {
"disabled": false,
"timeout": 60,
"command": "npx",
"args": [
"-y",
"google-pse-mcp",
"https://www.googleapis.com/customsearch",
"<api_key>",
"<cx>",
"<siteRestricted>" // optional flag, true/false, defaults to true
],
"transportType": "stdio"
}
}
}Configuration as documented by the project. Restart the client after saving.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
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.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.