Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
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.
APIFY_TOKEN) Clone & install:Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| raw-http | Fast (no JS execution) – good for static pages. |
| browser-playwright | Handles JS-heavy sites – slower, more robust. |
{
"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.
APIFY_TOKEN) Clone & install:| Variable | Description | Required |
|---|---|---|
| APIFY_TOKEN | Credential the server authenticates with. | Yes |
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
The original Chromium automation reference server — simple, screenshot-driven browser control.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Enables AI-powered applications to monitor and interact with browser data via a Chrome extension and MCP.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript