Apify Model Context Protocol (MCP) Server

What is Apify Model Context Protocol (MCP) Server?

The Apify MCP Server is an implementation of the Model Context Protocol that allows interaction with Apify Actors for various data extraction and web scraping tasks.

How to use Apify MCP Server?

You can use the MCP Server as an Apify Actor or run it locally. To start the server, send an HTTP GET request with your Apify API token to the designated URL. You can also interact with it using Server-Sent Events (SSE) or standard input/output (stdio).

Key features of Apify MCP Server?

• Enables interaction with multiple Apify Actors.
• Supports HTTP server and local server modes.
• Provides a chat-like UI for easy interaction.
• Allows dynamic loading of Actors and tools.

Use cases of Apify MCP Server?

1. Extracting data from social media platforms like Facebook and Instagram.
2. Scraping Google Search results for specific queries.
3. Performing web searches and summarizing trends.
4. Analyzing profiles and extracting contact details from Google Maps.

FAQ from Apify MCP Server?

• What is the Model Context Protocol?

  It is an open protocol that allows AI applications to connect to external tools and data sources securely.

• Can I run the MCP Server locally?

  Yes, you can run the MCP Server on your machine with the required prerequisites.

• What programming languages are supported?

  The server is implemented in TypeScript and requires Node.js to run.