mcp-server-rag-web-browser
This project is an MCP server designed to enhance AI client interactions with the web, focusing on fast information retrieval and processing for AI models using the RAG Web Browser Actor. It integrates seamlessly with existing AI systems, providing efficient communication and data extraction.
What is the purpose of the MCP Server for the RAG Web Browser Actor?
The MCP Server allows AI agents to perform web searches and extract information from web pages, enhancing their ability to interact with the web.
How does the MCP Server integrate with AI agents?
It operates over standard input/output (stdio), providing a straightforward connection to AI agents like Claude Desktop.
What are the prerequisites for running the MCP Server?
You need MacOS or Windows, the latest version of Claude Desktop, Node.js v18 or higher, and an Apify API Token.
Can the MCP Server fetch content from a single URL?
Yes, it can fetch a single URL and return its content in Markdown format.
What output formats are supported by the search tool?
The search tool supports 'text', 'markdown', and 'html' output formats, with 'markdown' as the default.