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Apify RAG Web Browser

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.

Cognium trust score

97%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/apify/mcp-server-rag-web-browser
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Apify RAG Web Browser from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"