@striderlabs/mcp-opentable

Book restaurant reservations via OpenTable using AI agents

Part of Strider Labs — action execution for personal AI agents.

Get Started in 2 Minutes

For Claude Desktop Users

1. Add this to your Claude Desktop config:

{
  "mcpServers": {
    "opentable": {
      "command": "npx",
      "args": ["-y", "@striderlabs/mcp-opentable"]
    }
  }
}

2. Restart Claude.

3. Tell Claude: "Book a table for 4 at an Italian restaurant for 7 PM tonight"

Your agent can now book reservations. That's it.

Related MCP server: Restaurant Reservation MCP Server

Installation (NPM)

npm install @striderlabs/mcp-opentable

Or with npx directly:

npx @striderlabs/mcp-opentable

Features

• 🔍 Search restaurants by cuisine, location, and rating

• ⏰ Check availability for specific times and party sizes

• 📅 Make reservations with one-click confirmation

• 📝 View booking history and manage reservations

• 🏷️ Filter by price, cuisine, and dining style

• 🔐 Persistent sessions - stay logged in across restarts

• 🔄 Automatic MFA - handles multi-factor authentication

• 📱 Per-user credentials - encrypted session storage

Tested & Compatible

Metrics

• Weekly downloads: 187 (Apr 10-17, 2026) — Top restaurant connector (+467% growth)

• Status: ✅ Live in production

• Reliability: 85%+ task completion rate

• Discovery: npm, Claude Plugins, mcpservers.org, ClawHub, PulseMCP

Available Elsewhere

• npm: npmjs.com/@striderlabs/mcp-opentable

• Claude Plugins: Search "Strider Labs" in Claude

• mcpservers.org: Strider Labs OpenTable

• Full Strider Labs: github.com/striderlabsdev/striderlabs

How It Works

For Agents

Your agent can use these capabilities:

// Search for restaurants
restaurants = search_restaurants({
  location: "San Francisco, CA",
  cuisine: "Italian",
  price_range: "$$",
  date: "2026-04-15",
  party_size: 4,
  time: "19:00"
})

// Get detailed restaurant info
details = get_restaurant_details({
  restaurant_id: "ristorante-milano-sf"
})

// Check availability
availability = check_availability({
  restaurant_id: "ristorante-milano-sf",
  party_size: 4,
  date: "2026-04-15",
  time: "19:00"
})

// Make a reservation
booking = make_reservation({
  restaurant_id: "ristorante-milano-sf",
  party_size: 4,
  date: "2026-04-15",
  time: "19:00",
  special_requests: "Window seat if possible"
})

// View your reservations
reservations = get_my_reservations()

Session Management

• Each user has encrypted, persistent credentials

• Automatic OAuth token refresh

• MFA handling (SMS/email)

• Sessions survive agent restarts

Reliability

• 85%+ task completion rate

• Automated UI change detection (connectors update when OpenTable changes)

• Fallback paths for failures

• 24/7 monitoring + alerting

Configuration

Environment Variables

# Optional: Use a specific OpenTable account
OPENTABLE_EMAIL=your-email@example.com
OPENTABLE_PASSWORD=your-password  # Highly recommend using .env file

Self-Hosted

# Clone the repo
git clone https://github.com/striderlabsdev/mcp-opentable
cd mcp-opentable

# Install dependencies
npm install

# Start the server
npm start

# Your agent can now connect to localhost:3000

Architecture

How We Connect

This connector uses browser automation (Playwright) to interact with OpenTable, because OpenTable doesn't have a comprehensive public API for reservations. Here's why that's safe and reliable:

• User-controlled: Your agent only accesses your own OpenTable account

• Session-based: We store your login session securely, not your password

• Change-aware: We detect OpenTable UI changes and alert immediately

• Fingerprinting: We use realistic browser profiles to avoid bot detection

• Rate-limited: We respect OpenTable's infrastructure with appropriate delays

Security

• Credentials stored encrypted in your local .env or secure vault

• Sessions isolated per user

• No data sent to third parties

• MIT Licensed — audit the code yourself

Support

• 📖 Full Strider Labs Docs

• 🐛 Report Issues

• 💬 Discussions

• 🌐 Website

• 📧 Email

Contributing

We welcome contributions! Areas of interest:

• Bug reports and fixes

• Feature requests (new filters, integrations, etc.)

• Performance improvements

• Documentation enhancements

See CONTRIBUTING.md for guidelines.

License

MIT — Free to use, modify, and distribute. See LICENSE for details.

Built by Strider Labs — Making AI agents actually useful.

GitHub | Website | Discord