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Opentable

by markswendsen-codeversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.markswendsen-code/opentable

Install

Overview

Description from the maker (original English)

MCP server for OpenTable - let AI agents book restaurant reservations and manage dining autonomously

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: OPENTABLE_EMAIL, OPENTABLE_PASSWORD

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: OPENTABLE_EMAIL, OPENTABLE_PASSWORD, OPENTABLE_LOCATION

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "opentable": {
      "command": "npx",
      "args": [
        "-y",
        "@striderlabs/mcp-opentable"
      ],
      "env": {
        "OPENTABLE_EMAIL": "your-value",
        "OPENTABLE_PASSWORD": "your-value",
        "OPENTABLE_LOCATION": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add opentable --env OPENTABLE_EMAIL=your-value --env OPENTABLE_PASSWORD=your-value --env OPENTABLE_LOCATION=your-value -- npx -y @striderlabs/mcp-opentable

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "opentable": {
      "command": "npx",
      "args": [
        "-y",
        "@striderlabs/mcp-opentable"
      ],
      "env": {
        "OPENTABLE_EMAIL": "your-value",
        "OPENTABLE_PASSWORD": "your-value",
        "OPENTABLE_LOCATION": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "opentable": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@striderlabs/mcp-opentable"
      ],
      "env": {
        "OPENTABLE_EMAIL": "your-value",
        "OPENTABLE_PASSWORD": "your-value",
        "OPENTABLE_LOCATION": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • OPENTABLE_EMAIL required env
    OpenTable email for authentication
  • OPENTABLE_PASSWORD secret required env
    OpenTable account password
  • OPENTABLE_LOCATION env
    Default location/city for restaurant searches

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account markswendsen-code, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32433 servers in this category
  • Published to the registry more recently than 7% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Opentable safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OPENTABLE_EMAIL, OPENTABLE_PASSWORD

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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"] } } }

  1. Restart Claude.
  2. Tell Claude: *"Book a table for 4 at an Italian restaurant for 7 PM tonight"*

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


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

ComponentVersionStatus
MCP SDK^1.0.0✅
Node.js18+✅
Claude DesktopLatest✅
Claude (API)claude-3.5-sonnet+✅
Anthropic SDK^0.20+✅

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

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

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.

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