Oculo MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Oculo MCP ServerLog into GitHub and star the oculo repo"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 responseYou: "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 callsOculo 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 |
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 |
|
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 |
| Describe the current page — headings, forms, buttons, links. Compact, a11y (ref-tagged), and markdown modes | ~30–80 |
| Navigate, click, hover, scroll, type, press keys, login via vault, manage tabs, cookies, proxy, recording | ~1 line |
| Fill form fields by label/placeholder matching, optional submit. Text, select, checkbox, contenteditable | ~1 line |
| Extract structured data — search results, tables, lists, articles | compact |
| Multi-step pipeline with conditionals ( | header + last |
| Generate images (Nano Banana 2 / DALL·E 3) or video (Veo 3.1); image-to-image editing | file path |
| Execute shell commands non-interactively (ls, npm, git, python, …) | stdout + stderr |
| List all open browser tabs with URLs and titles | compact |
| Deep web research — opens multiple tabs, reads pages, synthesizes findings | synthesized |
| Pre-fetch a URL without navigating away from the current page | page description |
| Translate page content or specific text to any language | translated text |
| 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 dev2. Register with your MCP client
Claude Code
claude mcp add oculo -- node ~/oculo/bin/oculo-mcp.mjsCursor / 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 oculofrom 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 # VitestPrerequisites: 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 modeContributing
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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