Skeleton MCP Server

Skeleton MCP Server

A template project for building Model Context Protocol servers with FastMCP framework, providing example CRUD API implementations, Docker support, and development best practices.

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Playwright MCP Proxy

A proxy server for Microsoft's playwright-mcp that provides efficient handling of large binary data (screenshots, PDFs) through blob storage.

Features

  • Playwright Browser Automation: Full access to all playwright-mcp browser automation tools
  • Efficient Binary Handling: Large screenshots and PDFs are automatically stored as blobs to reduce token usage
  • Blob Storage: Built-in blob management using mcp-mapped-resource-lib
  • Automatic Cleanup: TTL-based automatic expiration of old blobs
  • Docker Support: Containerized deployment with multi-runtime support (Python + Node.js + Playwright)
  • Configurable: Extensive configuration options for both playwright and blob storage

Quick Start

Prerequisites

  • Python 3.10 or higher
  • Node.js 18+ (for playwright-mcp)
  • uv package manager (recommended)
  • Docker (optional, for containerized deployment)

Installation

  1. Clone this repository:
git clone <this-repo> playwright-proxy-mcp
cd playwright-proxy-mcp
  1. Install dependencies:
uv sync
  1. Create your environment file:
cp .env.example .env
# Edit .env with your configuration (defaults are sensible)
  1. Run the server:
uv run playwright-proxy-mcp

The server will:

  • Start the playwright-mcp subprocess via npx
  • Initialize blob storage
  • Listen for MCP client connections on stdio

Docker Deployment

Build and run with Docker Compose:

docker compose up -d

This will:

  • Build a container with Python, Node.js, and Playwright browsers
  • Create persistent volumes for blob storage and playwright output
  • Start the proxy server on port 8000

Configuration

Configure the proxy via environment variables in .env:

Playwright Browser Settings

  • PLAYWRIGHT_BROWSER: Browser to use (chromium, firefox, webkit) - default: chromium
  • PLAYWRIGHT_HEADLESS: Run headless - default: true
  • PLAYWRIGHT_CAPS: Capabilities (vision,pdf,testing,tracing) - default: vision,pdf
  • PLAYWRIGHT_TIMEOUT_ACTION: Action timeout in ms - default: 5000
  • PLAYWRIGHT_TIMEOUT_NAVIGATION: Navigation timeout in ms - default: 60000

Blob Storage Settings

  • BLOB_STORAGE_ROOT: Storage directory - default: /mnt/blob-storage
  • BLOB_MAX_SIZE_MB: Max size per blob - default: 500
  • BLOB_TTL_HOURS: Time-to-live for blobs - default: 24
  • BLOB_SIZE_THRESHOLD_KB: Size threshold for blob storage - default: 50
  • BLOB_CLEANUP_INTERVAL_MINUTES: Cleanup frequency - default: 60

See .env.example for all available options.

How It Works

Binary Data Interception

The proxy automatically detects large binary data in playwright tool responses:

  1. When playwright tools return screenshots or PDFs
  2. If the data size exceeds the threshold (default: 50KB)
  3. The proxy stores the binary data as a blob
  4. The response is transformed to include a blob reference instead

Before (direct playwright-mcp):

{
  "screenshot": "data:image/png;base64,iVBORw0KGgo...500KB of data..."
}

After (through proxy):

{
  "screenshot": "blob://1733577600-a3f2c1d9e4b5.png",
  "screenshot_size_kb": 500,
  "screenshot_mime_type": "image/png",
  "screenshot_blob_retrieval_tool": "get_blob",
  "screenshot_expires_at": "2024-12-08T10:00:00Z"
}

Retrieving Blobs

Use the get_blob tool to retrieve binary data when needed:

result = await get_blob("blob://1733577600-a3f2c1d9e4b5.png")
# Returns the original base64-encoded image data

Available Tools

Playwright Tools (Proxied)

All playwright-mcp tools are available:

  • playwright_navigate: Navigate to a URL
  • playwright_click: Click an element
  • playwright_fill: Fill a form field
  • playwright_screenshot: Take a screenshot (auto-stored as blob if large)
  • playwright_get_visible_text: Get page text
  • And many more...

Blob Management Tools

  • get_blob(blob_id): Retrieve binary data by blob ID
  • list_blobs(mime_type, tags, limit): List available blobs with filtering
  • delete_blob(blob_id): Delete a blob from storage

Architecture

┌─────────────────────────────────┐
│  MCP Client (Claude Desktop)   │
└────────────┬────────────────────┘
             │ stdio
┌────────────▼────────────────────┐
│  FastMCP Proxy (Python)         │
│  - Binary Interception          │
│  - Blob Storage Integration     │
│  - Tool Forwarding              │
└────────────┬────────────────────┘
             │ stdio
┌────────────▼────────────────────┐
│  playwright-mcp (Node.js/npx)   │
│  - Browser Automation           │
│  - Screenshot/PDF Generation    │
└─────────────────────────────────┘

Testing

Run the test suite:

uv run pytest -v

Lint the code:

uv run ruff check src/ tests/
uv run ruff format src/ tests/

Project Structure

src/playwright_proxy_mcp/
├── server.py              # Main MCP proxy server
├── types.py               # TypedDict definitions
├── playwright/            # Playwright proxy components
│   ├── config.py         # Configuration loading
│   ├── process_manager.py # Subprocess management
│   ├── blob_manager.py   # Blob storage wrapper
│   ├── middleware.py     # Binary interception
│   └── proxy_client.py   # Proxy client integration
└── api/
    └── blob_tools.py     # Blob retrieval tools

Benefits

Token Savings

Large screenshots can consume 50,000+ tokens. With blob storage:

  • Screenshots stored as blobs use ~100 tokens for the reference
  • Retrieve full data only when needed
  • Automatic cleanup prevents storage bloat

Performance

  • Faster response times for tool calls
  • Reduced context window usage
  • Efficient deduplication of identical screenshots

Troubleshooting

npx not found

Ensure Node.js is installed and npx is in your PATH:

node --version
npx --version

Playwright browser installation fails

Install browsers manually:

npx playwright@latest install chromium --with-deps

Blob storage permissions

Ensure the blob storage directory is writable:

chmod -R 755 /mnt/blob-storage

License

MIT

Contributing

Contributions welcome! Please open an issue or pull request.

Resources

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