Simple Google Custom Search Engine (CSE) wrapper.
Simple Google Custom Search Engine (CSE) wrapper. Exposed over MCP by the google mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
A clean, type-safe Python client for the Google Custom Search JSON API. This wrapper provides simple methods for web and image searches, with full type safety powered by Pydantic models.
Everything the assistant can do here goes through one of these:
Methods — The Methods tool exposed by this serverThe server ships on PyPI as google-cse, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
You will need 2 environment variables: YOUR_API_KEY, YOUR_SEARCH_ENGINE_ID. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the search and retrieval options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Google's toolset — Methods — is a fair guide to whether it matches your workflow.
This entry was verified against Google's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Methods | The Methods tool exposed by this server. |
{
"mcpServers": {
"google-cse": {
"command": "uvx",
"args": ["google-cse"],
"env": {
"YOUR_API_KEY": "your-value",
"YOUR_SEARCH_ENGINE_ID": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_SEARCH_ENGINE_ID | Configuration value read at startup. | Optional |
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.