Strider Labs OpenTable MCP
About
MCP server for OpenTable - let AI agents make restaurant reservations and find availability
Details
- Author
- markswendsen-code
- Categories
- Other, Automation, API
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Setup
Install Strider Labs OpenTable MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/markswendsen-code/mcp-opentable
Follow the installation instructions in the repository README, then restart your MCP client.
Book restaurant reservations via OpenTable using AI agents
Part ofStrider Labsβ action execution for personal AI agents.
{ "mcpServers": { "opentable": { "command": "npx", "args": ["-y", "@striderlabs/mcp-opentable"] } } }
- Restart Claude.
- Tell Claude:"Book a table for 4 at an Italian restaurant for 7 PM tonight"
Your agent can now book reservations. That's it.
- πSearch restaurantsby cuisine, location, and rating
- β°Check availabilityfor specific times and party sizes
- π
Make reservationswith one-click confirmation
- πView booking historyand manage reservations
- π·οΈFilter by price, cuisine, and dining style
- πPersistent sessions- stay logged in across restarts
- πAutomatic MFA- handles multi-factor authentication
- π±Per-user credentials- encrypted session storage
- Weekly downloads:187 (Apr 10-17, 2026) β Top restaurant connector (+467% growth)
- Status:β
Live in production
- Reliability:85%+ task completion rate
- Discovery:npm, Claude Plugins, mcpservers.org, ClawHub, PulseMCP
- 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
// 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()
- Each user has encrypted, persistent credentials
- Automatic OAuth token refresh
- MFA handling (SMS/email)
- Sessions survive agent restarts
- 85%+ task completion rate
- Automated UI change detection (connectors update when OpenTable changes)
- Fallback paths for failures
- 24/7 monitoring + alerting
# Optional: Use a specific OpenTable account OPENTABLE_EMAIL=your-email@example.com OPENTABLE_PASSWORD=your-password # Highly recommend using .env file
# 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
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
- Credentials stored encrypted in your local.envor secure vault
- Sessions isolated per user
- No data sent to third parties
- MIT Licensed β audit the code yourself
- πFull Strider Labs Docs
- πReport Issues
- π¬Discussions
- πWebsite
- π§Email
We welcome contributions! Areas of interest:
- Bug reports and fixes
- Feature requests (new filters, integrations, etc.)
- Performance improvements
- Documentation enhancements
MIT β Free to use, modify, and distribute. SeeLICENSEfor details.
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