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What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to connect directly to external tools and data sources. Crawleo provides native MCP support, allowing AI assistants to search the web and crawl URLs without custom integration code.

MCP Endpoint

https://api.crawleo.dev/mcp

Available Tools

When connected via MCP, AI assistants have access to two tools:

search_web

Perform real-time web searches with AI-enhanced results.Cost: 10 credits per page of results

crawl_web

Crawl specific URLs and extract content.Cost: 1-10 credits per page (based on proxy settings)

Credit Costs for MCP Tools

ToolCredits Cost
search_web10 credits per page
crawl_web (no proxy)1 credit per page
crawl_web (standard proxy)2 credits per page
crawl_web (premium proxy)10 credits per page

Credits & Pricing

View full pricing details and subscription plans.

Compatible Platforms

Crawleo MCP works with all major AI assistants and development environments:

Why Use MCP?

Connect AI assistants to Crawleo without writing any integration code. Just configure and go.
AI assistants can naturally decide when to search the web or crawl pages based on your requests.
Give your AI assistant access to live web data, not just its training data.
Same strict privacy guarantees as the REST API - no data retention, no training on your data.

Quick Setup

The basic configuration pattern is the same across all platforms:
{
  "mcpServers": {
    "crawleo": {
      "url": "https://api.crawleo.dev/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
Select your platform from the navigation to see detailed setup instructions.

Example Usage

Once configured, you can ask your AI assistant things like:
  • “Search for the latest news about artificial intelligence”
  • “Crawl this documentation page and summarize it”
  • “Find and compare pricing from these three websites”
  • “Research the top Python web frameworks and their features”
The AI will automatically use Crawleo’s tools to fetch real-time web data.

Resources

Last modified on January 27, 2026