Overview

AI assistants are changing how developers build software. Instead of switching between documentation, browsers, terminals, and APIs, developers can now ask their AI assistant to perform tasks such as writing code, debugging applications, analyzing data, and interacting with external services.

However, AI assistants have one important limitation—they cannot access live websites, external APIs, or other tools on their own.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external tools, APIs, and data sources.

Instead of relying only on the information available in a conversation, an AI assistant can use MCP to retrieve live data, execute actions, and return results in real time.

This allows AI assistants to become active participants in your workflow rather than simple conversational assistants.

Why use MCP instead of manually calling APIs?

Without MCP, interacting with external services often requires switching between multiple tools.

You typically need to:

• Find the documentation.
• Write an API request.
• Send the request.
• Review the response.
• Copy the results back into your AI assistant.

With MCP, your AI assistant performs these tasks for you. You simply describe what you need, and the assistant communicates with the appropriate service behind the scenes.

For example, instead of manually calling an API, you can simply ask:

• Extract the content from this product page.
• Crawl the official React documentation.
• Process these 500 URLs.
• Check whether my extraction job has finished.

The AI assistant automatically selects the appropriate MCP tool to complete your request.

What is Geonode MCP?

Geonode MCP connects your AI assistant directly to Geonode's web scraping platform.

Once connected, your assistant can retrieve live web content, extract structured data, crawl entire websites, process batch extraction jobs, and monitor long-running tasks without leaving your editor or chat.

Instead of managing API requests yourself, you simply describe the task, and your assistant uses Geonode's scraping capabilities on your behalf.

What can you do with Geonode MCP?

With Geonode MCP, your AI assistant can:

• Extract content from individual web pages.
• Crawl websites and documentation portals.
• Process hundreds or thousands of URLs in batch jobs.
• Retrieve structured content in Markdown or HTML.
• Render JavaScript-powered websites.
• Route requests through residential proxies with geo-targeting.
• Include custom request headers when required.
• Monitor the progress of long-running extraction and crawl jobs.

How Geonode MCP Works

You
    │
    ▼
AI Assistant
(Cursor, Claude, Windsurf, etc.)
    │
    ▼
Geonode MCP Server
    │
    ▼
Geonode Scraper API
    │
    ▼
Target Website
    │
    ▼
Structured Results
    │
    ▼
AI Assistant Response

Supported Clients

Geonode MCP supports the following AI assistants and development environments:

• Claude Desktop
• Claude Code
• Cursor
• Windsurf
• Smithery
• Docker

Each client has its own setup guide with step-by-step installation instructions.

Next Steps

Continue to Before You Start to learn about the prerequisites, authentication, and the Geonode tools available through MCP. Once you're ready, follow the setup guide for your preferred client to start using Geonode MCP in your workflow.