Oculo

Name: Oculo
Author: xidik12

@xidik12

Oculo について

AI-powered native browser with built-in MCP server. 7 tools for browser automation — navigate, click, fill forms, extract data, run pipelines. ~30 tokens per page description vs 25,000 for DOM snapshots. macOS Apple Silicon. MIT licensed.

#browser-automation #web-scraping #electron #mcp-server

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

xidik12

投稿者

Khidayotullo Salakhitdinov

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "oculo": {
      "command": "node",
      "args": [
        "~/Desktop/oculo/bin/oculo-mcp.mjs"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Oculo?

Oculo is an AI-powered native browser built with Electron that integrates with MCP clients to let AI assistants see and interact with web pages. It works with Claude Code, Cursor, Windsurf, Zed, or any MCP-compatible client.

How to use Oculo?

Connect Oculo to any stdio MCP client by pointing it to node /path/to/mcp/oculo-mcp.mjs. For Claude Code, run claude mcp add oculo -- node /path/to/mcp/oculo-mcp.mjs. For Cursor, add the command and args to .cursor/mcp.json.

Key features of Oculo

AI Chat Panel with multi-provider support
7 MCP tools (~30 tokens per page description)
Media generation (images and videos)
Smart Auth: credential vault, auto-login, TOTP 2FA
Privacy-first: 4-tier permission gate, PII redaction
Voice control via on-device Whisper STT
Sandboxed browser-side JavaScript execution

Use cases of Oculo

Automate web tasks through AI-driven clicking and typing
Extract structured data (lists, tables, cards) from pages
Fill forms intelligently using label matching
Generate images/videos from text prompts
Run multi-step browser pipelines in a single call

FAQ from Oculo

What MCP tools does Oculo provide?

It provides seven tools: page (describe page, ~30 tokens), act (navigate/click/type, ~10 tokens), fill (fill form fields, ~15 tokens), read (extract data, ~100 tokens), run (multi-step pipeline, ~200 tokens), media (generate images/videos, varies), and shell (execute JS, ~50 tokens).