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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables visual browser automation through natural language descriptions, allowing AI to click, type, and navigate web pages by seeing the page.

README.md

!Surf MCP

!Python 3.11+ !License: MIT !Code style: ruff

Surf MCP

MCP server for visual browser automation via Fara.

Overview

Surf provides browser automation through visual grounding - you describe what you see, and it clicks, types, and navigates based on that description. No CSS selectors, no DOM traversal, just natural language.

The core insight: an AI that can see the page doesn't need to parse HTML.

Features

  • Visual grounding: Click/type by natural language description ("the blue Submit button")
  • Direct Fara execution: Fara decides the action, we execute it
  • Autonomous mode: Multi-step goal completion with progress tracking
  • Multi-server LM Studio: Auto-discovery and failover across GPU servers
  • Session persistence: Storage state (cookies, localStorage) round-trips through tool calls
  • Security controls: Domain allowlists, rate limiting, audit logging

Security

surf-mcp is designed for LOCAL use only via stdio transport.

Not Suitable For

  • Multi-tenant environments - trust boundary is the machine
  • Untrusted networks without SSH tunneling
  • Compliance-sensitive contexts - no formal security audit
  • Untrusted MCP clients - surf-mcp trusts its client completely

Residual Risks

  • No encryption at MCP protocol level
  • LLM responses (Fara/Gemini) executed without verification
  • Browser automation can click/type anything visible

Remote Execution

Use SSH as the transport - surf-mcp sees normal stdio:

{
  "mcpServers": {
    "surf-remote": {
      "command": "ssh",
      "args": ["-i", "~/.ssh/key", "user@gpu-box", "surf-mcp"]
    }
  }
}

See SECURITY.md for the full threat model and security controls.

How It Works

Surf uses Fara-7B (Microsoft's agentic vision model) to understand web pages:

sequenceDiagram
    participant Client as MCP Client
    participant Surf as surf-mcp
    participant PW as Playwright
    participant Fara as Fara-7B

    Client->>Surf: act("click the search button")
    activate Surf
    Surf->>PW: screenshot()
    PW-->>Surf: PNG image
    Surf->>Fara: analyze(image, goal)
    Note right of Fara: Visual grounding
    Fara-->>Surf: FaraToolCall{left_click, [624,280]}
    Surf->>PW: click(624, 280)
    PW-->>Surf: done
    deactivate Surf
    Surf-->>Client: Result + new screenshot

Supported Actions

| Action | Description | |--------|-------------| | left_click | Click at coordinates | | double_click | Double-click at coordinates | | type | Type text (optionally at coordinates) | | scroll | Scroll page up/down | | key | Press keyboard keys | | visit_url | Navigate to URL | | terminate | Task complete signal (agent mode) | | wait | Wait for page to load |

Installation

# Install from source
pip install -e .

# Install Playwright browsers
playwright install chromium

# Optional: Install harness dependencies
pip install -e ".[harness]"

Quick Start

As MCP Server

Add to your MCP client configuration:

{
  "mcpServers": {
    "surf": {
      "command": "surf-mcp"
    }
  }
}

Docker

# Recommended: use docker compose (reads .env automatically)
cp .env.example .env
# Edit .env with your settings
docker compose up

# Or build and run directly (note: --env-file doesn't strip quotes)
docker build -t surf-mcp .
docker run -it --rm \
  --add-host=host.docker.internal:host-gateway \
  -e LMSTUDIO_SERVERS=default=http://host.docker.internal:1234/v1 \
  surf-mcp

Fara Test Harness

Interactive UI for testing visual grounding:

cd tools/fara-harness
./run.sh    # Linux/Mac
run.bat     # Windows

See tools/fara-harness/CHEATSHEET.md for command reference.

Usage Examples

Browser Navigation with Visual Grounding

# Create session
session = await mcp.call("session_create", {
    "drivers": {
        "web": {
            "type": "browser",
            "headless": False,
            "storage_state": saved_state  # Optional: restore cookies
        }
    }
})

# Navigate to page
await mcp.call("goto", {
    "session_id": session["session_id"],
    "driver": "web",
    "location": "https://example.com"
})

# Click element by description
await mcp.call("click", {
    "session_id": session["session_id"],
    "driver": "web",
    "description": "the blue Submit button"
})

# Direct Fara execution (recommended)
await mcp.call("act", {
    "session_id": session["session_id"],
    "driver": "web",
    "goal": "type 'hello world' into the search box"
})

# Autonomous multi-step execution
await mcp.call("act_autonomous", {
    "session_id": session["session_id"],
    "driver": "web",
    "goal": "log in with username 'demo' and password 'demo123'"
})

# Destroy session and capture storage_state
result = await mcp.call("session_destroy", {"session_id": session["session_id"]})
saved_state = result["summary"]["web"]["storage_state"]

Configuration

Environment Variables

# Multi-server LM Studio (visual grounding)
LMSTUDIO_SERVERS="rtx3090=http://localhost:1234/v1,rtx8000=http://192.168.1.100:1234/v1"
FARA_MODEL_IDS="microsoft_fara-7b,fara-7b-gguf,gao-zijian/fara-7b"
FARA_MAX_FAILURES=2
FARA_PROBE_TIMEOUT=2.0

# Confidence and Agent Mode
FARA_MIN_CONFIDENCE=0.7
FARA_CONFIDENCE_RETRIES=2
FARA_MAX_AGENT_STEPS=20

# Alternative: Single OpenAI-compatible endpoint
OPENAI_API_KEY=lm-studio
OPENAI_BASE_URL=http://localhost:1234/v1
SURF_LLM_MODEL=microsoft_fara-7b

# Alternative: Gemini
GOOGLE_API_KEY=...
SURF_LLM_PROVIDER=gemini
SURF_LLM_MODEL=gemini-2.0-flash

# Browser defaults
SURF_BROWSER_HEADLESS=true
SURF_BROWSER_VIEWPORT_WIDTH=1920
SURF_BROWSER_VIEWPORT_HEIGHT=1080

# Session management
SURF_MAX_SESSIONS=10
SURF_SESSION_TIMEOUT_SECONDS=3600

Multi-Server LM Studio

Surf supports multiple LM Studio instances for redundancy:

LMSTUDIO_SERVERS="gpu1=http://localhost:1234/v1,gpu2=http://192.168.1.50:1234/v1"

Behavior:

  • Auto-discovery: Probes each server's /v1/models to find loaded Fara model
  • Prefer loaded: Prioritizes servers with Fara already in VRAM
  • Failover: Automatically retries on another server if one fails

MCP Tools

Session Lifecycle

| Tool | Description | |------|-------------| | session_create | Create browser session | | session_destroy | Cleanup session, returns storage_state | | session_list | List active sessions |

Navigation

| Tool | Description | |------|-------------| | goto | Navigate to URL | | current | Get current URL | | back / forward | Navigate history | | history | Get navigation history |

Content

| Tool | Description | |------|-------------| | list | Extract page links | | read | Read page content | | snapshot | Capture screenshot |

Visual Grounding

| Tool | Description | |------|-------------| | locate | Find element by description, return coordinates | | click | Click element by description | | type | Type into element by description | | scroll | Scroll page up/down | | wait | Wait for element or delay | | act | Direct Fara execution - Fara decides the action | | act_autonomous | Multi-step autonomous execution until task complete |

Architecture

See docs/ARCHITECTURE.md for detailed architecture documentation.

Design decisions are recorded in docs/adr/.

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest                    # All tests
pytest -m "not live"      # Skip LLM tests (for CI)
pytest -m live            # Only live LLM tests

# Type checking
mypy src/

# Linting
ruff check src/

License

MIT

---

© 2025 Shane V Cantwell | reflectiveattention.ai

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