developer-tools

Terminal.shop

pashaydev

by pashaydev

Order online from Starbucks with Terminal.shop—browse coffee products, manage carts, and enjoy secure payments for subsc

Integrates with Terminal.shop's e-commerce platform to enable browsing coffee products, managing shopping carts, and handling subscriptions with secure Stripe payment processing

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Secure Stripe payment integrationFull subscription managementSSH-based API token creation

best for

  • / AI assistants helping customers shop for coffee
  • / Automated subscription management for coffee deliveries
  • / E-commerce chatbots with full transaction capabilities

capabilities

  • / Browse coffee products and search inventory
  • / Add items to shopping cart and set shipping details
  • / Place orders and view order history
  • / Create and manage coffee subscriptions
  • / Update user profiles and shipping addresses
  • / Handle secure payment processing with Stripe

what it does

Connects AI assistants to Terminal.shop's coffee e-commerce platform for browsing products, managing carts, and handling orders with Stripe payments.

about

Terminal.shop is a community-built MCP server published by pashaydev that provides AI assistants with tools and capabilities via the Model Context Protocol. Order online from Starbucks with Terminal.shop—browse coffee products, manage carts, and enjoy secure payments for subsc It is categorized under developer tools.

how to install

You can install Terminal.shop in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Terminal.shop is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Terminal.shop MCP Server

This project implements a mcp server for interacting with the terminal.shop. It allows ai assistants to seamlessly browse products, manage shopping carts, place orders, and handle subscriptions through Terminal.shop's API.

<a href="https://glama.ai/mcp/servers/@pashaydev/terminal.shop.mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@pashaydev/terminal.shop.mcp/badge" alt="Terminal.shop Server MCP server" /> </a>

MseeP.ai Security Assessment Badge

Features

  • Product Management: Browse and search Terminal.shop's coffee products
  • Cart Operations: Add items to cart, set shipping address and payment method
  • Order Management: Place orders and view order history
  • Subscription Handling: Create and manage recurring coffee subscriptions
  • User Profile: Update user information and manage shipping addresses
  • Payment Methods: Secure handling of payment information

Setup

Prerequisites

  • Node.js
  • A Terminal.shop account
  • A Terminal.shop API token

Installation

  1. Clone this repository

  2. Install dependencies:

    npm install
    
  3. Connect to Terminal.shop and create a new token:

    ssh terminal.shop -t tokens
    
  4. Open claude.app, go to settings, click 'developer' option and 'edit config':

{
  "mcpServers": {
    "terminal-shop-mcp": {
      "command": "node",
      "args": ["path_to_folder/server.js"],
      "env": {
        "TERMINAL_API_TOKEN": "token here"
      }
    }
  }
}
  1. Restart claude.app, and make sure you see hammer icon under input

  2. Ask claude to get list of products or create a new address, subscription etc

Available Resources

The MCP server provides the following resources:

  • terminal://products - List all available products
  • terminal://product/{id} - Get details for a specific product
  • terminal://orders - View order history
  • terminal://profile - Access user profile information
  • terminal://addresses - Manage shipping addresses
  • terminal://cards - Manage payment methods
  • terminal://cart - View current shopping cart
  • terminal://subscriptions - Manage coffee subscriptions

Tools

The server provides various tools for interacting with Terminal.shop:

Product Tools

  • search-products - Search for products by keyword
  • get-product-details - Get detailed information about a specific product

Cart Tools

  • add-to-cart - Add a product variant to the cart
  • set-cart-address - Set the shipping address for the cart
  • set-cart-card - Set the payment method for the cart
  • clear-cart - Empty the shopping cart
  • checkout - Convert the cart to an order

Order Tools

  • create-order - Create an order directly without using the cart

User Management Tools

  • update-profile - Update user profile information
  • create-address - Add a new shipping address
  • delete-address - Remove a shipping address
  • collect-card - Generate a secure URL for adding payment information
  • create-card - Add a card using a Stripe token
  • delete-card - Remove a payment method

Subscription Tools

  • create-subscription - Start a new coffee subscription
  • cancel-subscription - Cancel an existing subscription

Account Tools

  • create-token - Create a new personal access token
  • delete-token - Delete a personal access token
  • get-app-data - Fetch all account data at once

Prompt Templates

The server includes several prompt templates to help AI assistants provide better responses:

  • browse-products - Guide for browsing and finding products
  • manage-cart - Help with shopping cart management
  • place-order - Assistance with placing an order
  • manage-subscription - Support for subscription management
  • manage-profile - Guide for profile and address management

API Documentation

This MCP server is built on top of the Terminal.shop API. For detailed information about the underlying API, refer to the Terminal API documentation.

Security Considerations

  • The server handles sensitive payment information through secure URLs rather than directly processing card details
  • API tokens are stored in environment variables to prevent exposure
  • User data is handled according to Terminal.shop's security practices

License

This project is licensed under the MIT License - see the LICENSE file for details.

FAQ

What is the Terminal.shop MCP server?
Terminal.shop is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Terminal.shop?
This profile displays 55 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.755 reviews
  • James Chawla· Dec 16, 2024

    Terminal.shop is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ganesh Mohane· Dec 4, 2024

    According to our notes, Terminal.shop benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dev Shah· Dec 4, 2024

    We wired Terminal.shop into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Dev Chen· Nov 23, 2024

    We evaluated Terminal.shop against two servers with overlapping tools; this profile had the clearer scope statement.

  • Daniel Dixit· Nov 7, 2024

    Terminal.shop is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Carlos Farah· Oct 26, 2024

    We evaluated Terminal.shop against two servers with overlapping tools; this profile had the clearer scope statement.

  • Carlos Haddad· Oct 14, 2024

    Terminal.shop is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • James Bhatia· Sep 25, 2024

    We evaluated Terminal.shop against two servers with overlapping tools; this profile had the clearer scope statement.

  • Sofia Srinivasan· Sep 25, 2024

    Terminal.shop is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Sofia Kapoor· Sep 17, 2024

    According to our notes, Terminal.shop benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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