actors-mcp-server
The Apify Model Context Protocol Server allows interaction with Apify Actors using the MCP protocol. It provides tools for performing various tasks such as web scraping and data extraction using AI agents or applications. The server can run locally or as a cloud-based Apify Actor.
What is the Apify MCP Server used for?
The Apify MCP Server is used to enable AI applications to interact with Apify Actors for tasks like data extraction and web searching.
How can I access the MCP Server?
You can access the MCP Server via HTTP using Server-Sent Events (SSE) or locally via standard input/output (stdio).
What are some examples of tasks the MCP Server can perform?
Examples include scraping Facebook posts, extracting Google Maps contact details, and analyzing Instagram profiles.
Can I dynamically load Actors with the MCP Server?
Yes, you can dynamically load Actors using the MCP Tester client, although this feature is not yet supported by all MCP clients.
What platforms are compatible with the MCP Server?
The MCP Server is compatible with platforms like Claude Desktop, Visual Studio Code, and LibreChat.