# Apify RAG Web Browser

> Use this tool when you need to integrate large language models with real-time web data to perform tasks like research, content summarization, and web-informed responses. It provides a web browsing interface that enables AI assistants to search, scrape, and fetch content from the web, returning cleaned results as Markdown. Ideal for scenarios where AI systems require up-to-date information to enhance their knowledge and capabilities.

Canonical page: https://skillsregistry.net/skills/apify-rag-web-browser  
JSON: https://api.skillsregistry.net/v1/skills/apify-rag-web-browser

## Description

This MCP server, developed by Apify, provides a web browsing interface for large language models and RAG pipelines. Built in JavaScript, it integrates with the RAG Web Browser Actor on the Apify platform to enable AI assistants to perform web searches, scrape content from top results, and fetch individual URLs. The implementation stands out by returning cleaned web content as Markdown and offering flexible search result limits. By connecting AI models with real-time web data, this server allows AI systems to access up-to-date information, analyze online content, and provide web-informed responses. It is particularly useful for scenarios like research tasks, content summarization, and building AI assistants that can leverage current web information to enhance their knowledge and capabilities.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/apify-rag-web-browser)
- **Repository:** <https://github.com/apify/mcp-server-rag-web-browser>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apify-rag-web-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apify-rag-web-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apify-rag-web-browser/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt