apify_mcp-server-rag-web-browser

apify_mcp-server-rag-web-browser

3.1

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Implementation of an MCP server for the RAG Web Browser Actor, enabling AI assistants to perform web searches and fetch content.

The Model Context Protocol (MCP) server for the RAG Web Browser Actor is designed to facilitate interactions between AI applications and external web resources. It allows AI assistants to perform web searches, scrape content from the top N URLs, and return the cleaned content in Markdown format. This server acts as a bridge for AI models to access and process web data, enhancing their ability to provide informed responses. The server is compatible with Claude Desktop and other MCP clients, requiring Node.js and an Apify API Token for operation.

Features

  • Web Search: Performs a web search and scrapes the top N URLs, returning their content as Markdown.
  • Single URL Fetch: Fetches content from a single URL and returns it as Markdown.
  • Integration with Claude Desktop: Configurable to work with Claude Desktop for seamless AI assistant operations.
  • Local Development Support: Allows for local server development and testing with example clients.
  • Debugging Tools: Supports debugging with MCP Inspector for enhanced development experience.

Tools

  1. search

    Query Google Search, scrape the top N URLs from the results, and returns their cleaned content as Markdown.