Real-time web search and crawling capabilities for AI assistants through Model Context Protocol (MCP)
Crawleo MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Real-time web search and crawling capabilities for AI assistants through Model Context Protocol (MCP).
Crawleo MCP enables AI assistants to access live web data through two powerful tools: - web.search - Real-time web search with multiple output formats - web.crawl - Deep content extraction from any URL
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need one environment variable: CRAWLEO_API_KEY. 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.
Plenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by crawleo; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
**Or if installed globally:**
```json
{
"mcpServers": {
"crawleo": {
"command": "crawleo-mcp",
"env": {
"CRAWLEO_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| CRAWLEO_API_KEY | Credential the server authenticates with. | Yes |
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.