
RAG Web Browser
Pricing
Pay per usage

RAG Web Browser
Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).
4.3 (10)
Pricing
Pay per usage
112
Total users
3.7K
Monthly users
1.1K
Runs succeeded
>99%
Issues response
6.4 days
Last modified
2 months ago
You can access the RAG Web Browser programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=apify/rag-web-browser", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}
Configure MCP server with RAG Web Browser
You have a few options for interacting with the MCP server:
Use
mcp.apify.com
viamcp-remote
from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=apify/rag-web-browser
along with an API token (or use OAuth).Connect to
mcp.apify.com
via Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=apify/rag-web-browser", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.