Connect your AI to your browser. Everything you need — install, authenticate, configure, capture.
The MCP connector needs the E2LLM MCP extension — the relay-connected build that lets your AI read and act in your browser. Install it directly:
Download the MCP extension for Chrome (.zip) →
Unzip it, open chrome://extensions, turn on Developer mode, then click Load unpacked and select the folder. Full steps and other builds are on the extension page.
Click the E2LLM extension icon and sign in with Google, Microsoft, GitHub, or email. Your account starts on the Free tier — all features included. See current limits.
The extension popup will show your account status and a green "Connected" indicator once authenticated.
Copy the MCP configuration from your dashboard and paste it into your AI tool's settings.
Claude Code:
// Add to Claude Code MCP settings:
"e2llm": {
"type": "url",
"url": "https://mcp.e2llm.com/mcp"
}OpenAI Codex:
# Run in terminal:
codex mcp add e2llm --url https://mcp.e2llm.com/mcpCursor / VS Code — and other MCP-compatible clients:
// Add to MCP settings:
"e2llm": {
"url": "https://mcp.e2llm.com/mcp"
}Open any website in your browser. Then ask your AI:
"Capture the current page and tell me what you see."Your AI will call sifr_capture, receive a structured SiFR snapshot of the page, and describe what's on screen — elements, buttons, forms, content. All in 2-5K tokens instead of 200-400K raw HTML.
Extension shows "Disconnected": Refresh the page (F5), then try again. If still disconnected, close and reopen Chrome/Firefox.
"No response from content script": The page's content script may have been unloaded. Refresh the target page and retry.
AI tool can't connect: Make sure the extension is signed in with the same account. Check that the MCP config URL is exactly https://mcp.e2llm.com/mcp.