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xidik12

Oculo MCP Server

by xidik12

Oculo is a full-Chromium desktop browser that speaks the Model Context Protocol. Point Claude Code, Cursor, Windsurf, or any MCP client at it and your agent can see and drive real web pages — read the DOM, click, fill forms, extract data, run multi-step pipelines — through 12 compact tools that answer in under 300 tokens per flow.

Cursor : VSCode :: Oculo : Chrome

See it in action

Your agent describes intent; Oculo resolves it into a few tiny tool calls and hands back terse, redacted results — not megabytes of screenshots.

You: "Log into GitHub and star the oculo repo"

Claude Code calls:
  1. act({action: "navigate", url: "https://github.com/login"})
  2. act({action: "login", site: "github.com"})         # vault lookup, password never leaves the OS keychain
  3. act({action: "navigate", url: "https://github.com/xidik12/oculo"})
  4. act({action: "click", text: "Star"})

→ 4 tool calls, <100 tokens of response
You: "Fill out the contact form on example.com"

Claude Code calls:
  1. act({action: "navigate", url: "https://example.com/contact"})
  2. page()                                               # see the form structure
  3. fill({fields: {"Name": "...", "Email": "..."}, submit: true})

→ 3 tool calls

Oculo runs a real Chromium engine on your machine and adds an agent-first control layer on top. That combination is the point:

Capability

Native browser

Full Chromium engine — not a wrapper, extension, or headless scraper

12 MCP tools

page, act, fill, read, run, media, shell, tabs, research, preview, translate, lens

< 300 tokens / flow

Compact text responses by default — cheaper than screenshot-based approaches

Self-healing automation

Selector caching + DOM diffing — 44%+ faster on repeated workflows

Multi-provider AI

Built-in chat with Claude, OpenAI, Gemini, Grok, OpenClaw, Ollama

4-level security

auto / notify / confirm / blocked permission gate on every action

OS keychain vault

Credentials encrypted via electron.safeStorage (macOS Keychain / Windows DPAPI)

PII redaction

Credit cards, SSNs, JWTs, API keys, Bearer tokens stripped from every MCP response

Anti-injection

Content boundary markers + regex-based prompt-injection detection

19 stealth patches

Navigator, WebGL, canvas, WebRTC, audio, font, battery, and screen fingerprint defenses

Headless mode

Run without a window — Docker support included

Cross-platform

macOS, Windows, Linux

Python SDK

pip install oculo — sync and async clients

Each tool does one thing and returns the smallest useful answer. Token cost is the response size the agent pays for.

Tool

What it does

Token cost

page

Describe the current page — headings, forms, buttons, links. Compact, a11y (ref-tagged), and markdown modes

~30–80

act

Navigate, click, hover, scroll, type, press keys, login via vault, manage tabs, cookies, proxy, recording

~1 line

fill

Fill form fields by label/placeholder matching, optional submit. Text, select, checkbox, contenteditable

~1 line

read

Extract structured data — search results, tables, lists, articles

compact

run

Multi-step pipeline with conditionals (page/act/fill/read/wait/if). Cached for replay

header + last

media

Generate images (Nano Banana 2 / DALL·E 3) or video (Veo 3.1); image-to-image editing

file path

shell

Execute shell commands non-interactively (ls, npm, git, python, …)

stdout + stderr

tabs

List all open browser tabs with URLs and titles

compact

research

Deep web research — opens multiple tabs, reads pages, synthesizes findings

synthesized

preview

Pre-fetch a URL without navigating away from the current page

page description

translate

Translate page content or specific text to any language

translated text

lens

Visual analysis of the current page via screenshot + AI vision

description

Bonus: webmcp_list and webmcp_call discover and invoke page-declared tools via the WebMCP protocol.

Why HTTP instead of stdio? Electron's <webview> is only reachable from the renderer process. The main process — where stdio lives — can't touch page content. The HTTP bridge crosses that boundary via main-to-renderer IPC.

Port discovery. On startup Oculo writes port:authtoken to ~/.oculo-port. The bin/oculo-mcp.mjs bridge reads it automatically, so tool definitions stay discoverable even when the app is closed — only execution requires Oculo to be running.

1. Install

Grab the latest build from Releases, or run from source:

git clone https://github.com/xidik12/oculo.git
cd oculo
npm install
npm run dev

2. Register with your MCP client

Claude Code

claude mcp add oculo -- node ~/oculo/bin/oculo-mcp.mjs

Cursor / Windsurf — add to your MCP config (.cursor/mcp.json or equivalent):

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

3. (Optional) Headless & Docker

Run without a visible window for CI/CD, scraping, or server-side automation:

node bin/oculo-headless.mjs                          # convenience launcher
npx electron . --headless                            # or raw flags
npx electron . --headless --headless-auto-approve    # auto-approve CONFIRM actions
OCULO_HEADLESS=1 npm run dev                          # or via env var

docker compose up                                    # containerized headless (Xvfb)

4. (Optional) Python SDK

pip install oculo
from oculo import OculoClient

client = OculoClient()                 # auto-discovers port from ~/.oculo-port
print(client.page())                   # describe the page
client.act("navigate", url="https://example.com")
client.fill({"Email": "hi@oculo.com", "Message": "Hello!"}, submit=True)
results = client.read("search results", format="json")

An async AsyncOculoClient with the same surface is also available.

Every action passes through a permission gate, and every response is redacted before it reaches the model.

Permission levels

Level

Actions

Behavior

Auto

navigate, page, read, scroll, screenshot, back, forward, reload, hover, listTabs, switchTab, preview, translate, lens

Executes silently

Notify

click, type, fill, select, press, submit, newTab, closeTab

Executes + OS notification

Confirm

payment, delete_account, change_password, send_email, download, oauth, shell, evaluate, setProxy, startRecording

Native dialog approval required

Blocked

read_vault, export_cookies, export_tokens, disable_security

Always rejected

Credential vault

  • Encrypted with electron.safeStorage → OS Keychain (macOS) / DPAPI (Windows).

  • Passwords are never returned via IPC or MCP — only domain + username are exposed.

  • act({action: "login", site: "github.com"}) retrieves and fills credentials without the model ever seeing them.

Redaction & anti-injection

  • Every MCP response passes through a redactor that strips credit-card numbers, SSNs, JWTs, API keys, private keys, and Bearer tokens.

  • Page content handed to the model is wrapped in boundary markers, and regex-based detection blocks prompt-injection attempts embedded in that content.

Stealth (19 patches)

Navigator (webdriver, languages, plugins, mimeTypes, connection, hardwareConcurrency, deviceMemory), window (chrome API, dimensions), WebGL (vendor/renderer spoofing), canvas (per-call fingerprint randomization), WebRTC (IP-leak prevention), AudioContext, font enumeration blocking, Battery API, and screen-resolution randomization.

Self-healing automation

After a successful act/fill, selectors are cached with stability scores — id and data-testid = 10, aria-label = 9, role+name = 8, text = 7, css = 5. On the next run, DOM diffing picks the strategy:

  • > 80% similarity — replay from cache, no LLM call.

  • 50–80% — fall back to alternative selectors.

  • < 50% — re-engage the AI for a fresh resolution.

That's where the 44%+ speed-up on repeated workflows comes from.

Related MCP server: wraith-mcp

Built-in AI chat

Oculo also ships a side-panel chat that talks to multiple providers directly:

Provider

Auth

Models

Claude

API key or CLI subscription

Opus, Sonnet, Haiku

OpenAI

API key or Codex CLI

GPT-4o, GPT-4o mini, o1, o3

Gemini

API key

2.0 Flash, 1.5 Pro, 1.5 Flash

Grok

API key

Grok 2, Grok 2 Mini

Ollama

Local (no key)

Any pulled model

OpenClaw

API key

OpenClaw models

Building from source

npm run build          # production build
npm run dist:mac       # macOS DMG + ZIP
npm run dist:win       # Windows NSIS + portable
npm run dist:linux     # Linux AppImage + deb

npm run typecheck      # TypeScript
npm run lint           # ESLint
npm run test           # Vitest

Prerequisites: Node.js 20+, npm (not pnpm/yarn — native modules require npm), macOS / Windows / Linux.

src/
  main/                    Electron main process
    ai/agent.ts            Multi-provider AI controller
    captcha/               CAPTCHA detection + solvers
    data/                  Bookmarks, downloads, history, session recording
    engine/                Page describer, extractor, form-detector, pipeline, resolver,
                           selector-cache, dom-differ, tab-manager
    mcp/server.ts          HTTP MCP server (ports 19516–19520, auth token)
    mcp/tools/             act, fill, page, read, run tool handlers
    network/proxy.ts       HTTP/SOCKS proxy manager
    security/              Vault, permissions, redactor, audit, anti-injection
  preload/index.ts         contextBridge API
  renderer/
    App.tsx                Root browser UI component
    components/            TabBar, AddressBar, ChatPanel, WebViewContainer,
                           bookmarks, downloads, find, history, layout, common
  shared/                  Types, constants, IPC channels, AI provider definitions
bin/
  oculo-mcp.mjs            stdio-to-HTTP MCP bridge (for Claude Code / Cursor)
  oculo-headless.mjs       Headless mode launcher
sdk/python/                Python SDK (pip install oculo)
Dockerfile                 Container deployment
docker-compose.yml         Docker Compose for headless mode

Contributing

See CONTRIBUTING.md for development setup, architecture details, and how to add a new MCP tool.

Donate

If Oculo saves you time, you can support development — BTC: 12yRGpUfFznzZoz4yVfZKRxLSkAwbanw2B

License

MIT © 2026 Salakhitdinov Khidayotullo


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