Rag Web Browser MCP Server

Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.

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What is the Rag Web Browser MCP Server?

Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.

What the server does

Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.

Credentials and setup notes

  • Node.js (v18 or higher) - Apify API Token (APIFY_TOKEN) Clone & install:

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
raw-httpFast (no JS execution) – good for static pages.
browser-playwrightHandles JS-heavy sites – slower, more robust.

How to install the Rag Web Browser MCP Server

{
  "mcpServers": {
    "rag-web-browser": {
      "command": "npx",
      "args": ["@apify/mcp-server-rag-web-browser"],
      "env": {
        "APIFY_TOKEN": "your-apify-api-token"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Node.js (v18 or higher) - Apify API Token (APIFY_TOKEN) Clone & install:
VariableDescriptionRequired
APIFY_TOKENCredential the server authenticates with.Yes

Example prompts to try

  • “Use Rag Web Browser to name.”
  • “Use Rag Web Browser to raw-http.”
  • “Use Rag Web Browser to browser-playwright.”

Frequently asked questions

The Rag Web Browser is a tool that enables AI agents and LLMs to interact with the web, extract information, and perform web scraping tasks. It allows AI to browse the web like a human, gathering data for various applications.