Overview

MCP Server for the RAG Web Browser Actor

Overview

The MCP Server for the RAG Web Browser Actor is a powerful tool that enables large language models (LLMs) and RAG pipelines to perform web search and content retrieval, similar to the web search functionality in ChatGPT.

Key Features

• Web Search: The server can query Google Search, scrape the top N URLs from the results, and return their cleaned content as Markdown.
• URL Fetching: The server can fetch a single URL and return its content as Markdown.
• Model Context Protocol (MCP) Integration: The server is designed to work with the MCP protocol, allowing AI applications and agents to securely connect to external tools and data sources.

Target Audience and Use Cases

The MCP Server for the RAG Web Browser Actor is primarily aimed at developers and researchers working with LLMs and RAG pipelines. It can be used to enhance the capabilities of AI assistants, chatbots, and other applications that require web search and content retrieval functionality.

Noteworthy Aspects

• Open Protocol: The MCP protocol used by the server is an open standard, enabling interoperability between different AI applications and tools.
• Flexible Configuration: The server can be easily configured and integrated with various AI platforms, including the Claude Desktop application.
• Debugging Support: The server includes built-in support for the MCP Inspector, which provides a user-friendly interface for debugging and testing the server's functionality.

Overall, the MCP Server for the RAG Web Browser Actor is a valuable tool for developers and researchers looking to integrate web search and content retrieval capabilities into their AI-powered applications.

Configuration

{
  "mcpServers": {
    "mcp-server-rag-web-browser": {
      "command": "npx",
      "args": [
        "/path/to/mcp-server-rag-web-browser/build/index.js"
      ],
      "env": {
        "APIFY_API_TOKEN": "your_api_token"
      }
    }
  }
}

Technical Implementation

Requirements

• Node.js v18+
• Apify API token
• MCP-compatible client

Platform Support

| Feature | Support | |---------|---------| | Operating Systems | macOS, Windows | | Runtime | Node.js | | Development | TypeScript | | Dependencies | Apify SDK |

The server provides robust web search and content extraction capabilities through Apify's infrastructure, making it particularly useful for RAG (Retrieval-Augmented Generation) applications.