Terminal.shop▌
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
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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>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
-
Clone this repository
-
Install dependencies:
npm install -
Connect to Terminal.shop and create a new token:
ssh terminal.shop -t tokens -
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"
}
}
}
}
-
Restart claude.app, and make sure you see hammer icon under input
-
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 productsterminal://product/{id}- Get details for a specific productterminal://orders- View order historyterminal://profile- Access user profile informationterminal://addresses- Manage shipping addressesterminal://cards- Manage payment methodsterminal://cart- View current shopping cartterminal://subscriptions- Manage coffee subscriptions
Tools
The server provides various tools for interacting with Terminal.shop:
Product Tools
search-products- Search for products by keywordget-product-details- Get detailed information about a specific product
Cart Tools
add-to-cart- Add a product variant to the cartset-cart-address- Set the shipping address for the cartset-cart-card- Set the payment method for the cartclear-cart- Empty the shopping cartcheckout- 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 informationcreate-address- Add a new shipping addressdelete-address- Remove a shipping addresscollect-card- Generate a secure URL for adding payment informationcreate-card- Add a card using a Stripe tokendelete-card- Remove a payment method
Subscription Tools
create-subscription- Start a new coffee subscriptioncancel-subscription- Cancel an existing subscription
Account Tools
create-token- Create a new personal access tokendelete-token- Delete a personal access tokenget-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 productsmanage-cart- Help with shopping cart managementplace-order- Assistance with placing an ordermanage-subscription- Support for subscription managementmanage-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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.7★★★★★55 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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