Key Points
Payments moved into chat. Storefronts and customer support followed. Logistics was the last layer still living outside the AI client. That gap closes today.
Stripe and OpenAI shipped the Agentic Commerce Protocol in late 2025. Microsoft Copilot Checkout went live in January 2026 with Shopify, PayPal, and Stripe as launch partners. Shopify followed with four MCP servers, including a Storefront MCP endpoint for every Shopify store. Every layer of the commerce stack has been racing to plug into MCP. Shipping was the obvious missing piece.
The Easyship MCP Server fills it. From a single prompt, your AI agent can compare rates, buy labels, and pull analytics across 550+ courier services and 200+ countries and territories. Address validation, pickup scheduling, and landed-cost calculation come with it. The same shipping infrastructure already moving hundreds of millions of packages a year is now callable in plain language inside Claude, ChatGPT, Cursor, Gemini, or any other MCP-compatible client.
"MCP is the universal adapter the developer ecosystem chose, and the commerce stack has been racing to plug into it. The shipping technology layer is complex, with dynamic rates, unique carrier logic, and customs rules that don't compress easily into a single API endpoint. We built the Easyship MCP Server so any AI agent can tap into 550+ global services with a single prompt and get back a real, printable label, or live shipping data on how to reduce fulfillment costs."
Paul Lugagne-Delpon, Co-Founder and CTO, Easyship
The Easyship MCP Server connects Easyship's full shipping API infrastructure to any AI client that supports the Model Context Protocol, the open standard developed by Anthropic and now adopted by Stripe, PayPal, Slack, Atlassian, and Shopify.
The Easyship MCP Server ships 25 shipping and cross-border tools, grouped into eight categories:
Each tool runs against the same enterprise-grade API trusted by 100,000+ Easyship merchants today, with 99.99% uptime and pre-negotiated discounts of up to 91% off retail rates baked in.
The Easyship MCP Server matches the depth of a real shipping operation, stage by stage. Here's how it maps to the actual workflow.
Get everything in order before a single label is printed.
• Validate domestic and international addresses to prevent delivery failures
• Compare live rates across carriers and apply custom selection logic (cheapest, fastest, best value)
• Sync and review unfulfilled orders across your sales channels
Move from order to label without manual work.
• Generate domestic and international shipping labels in bulk
• Apply dynamic carrier selection rules based on order value, weight, or priority
• Retrieve customs documents and packing slips for any shipment
Keep customers informed and handle the unexpected.
• Track shipments in real time with full checkpoint history
• Automate WISMO (“where is my order”) responses and proactive status updates
• Create and manage return shipments and reverse logistics
Understand the operation without building a single report.
• Query shipment volumes across any time period
• Break down spend by courier, destination, or order type
• Access transaction and billing summaries on demand
The Easyship MCP Server serves three audiences.
eCommerce merchants running lean shipping operations. Your AI assistant can now handle rate comparison, label generation, and tracking inside the same chat where you run the rest of the business. No tab-hopping between carrier portals, customs forms, and tracking pages.
AI builders and agents. Bots that read order data can now issue a shipping label, schedule a pickup, or compare carrier discounts on their own. Informational agents become transactional.
Developers shipping faster. Point an AI coding agent at the Easyship MCP Server and auto-generate multi-carrier shipping integrations with built-in logistics context. No manual API configuration, no SDK glue code.
"Most merchants don't want to learn another tool. They want their AI assistant to handle the shipping work and reduce the time they spend on fulfillment. An operations lead can ask for the cheapest cross-border option and get a printable label in the same chat. A customer service bot can issue a return and generate a label without escalating to a human. A founder can pull last quarter's carrier mix without opening a spreadsheet. That's the new bar for AI in shipping. Anything less is a demo."
Tommaso Tamburnotti, Co-Founder, Easyship
The Easyship MCP Server runs on any platform that supports the Model Context Protocol.
The Easyship MCP Server is also listed on the official MCP Registry at registry.modelcontextprotocol.io.
The Easyship MCP Server takes a plain-language request and runs it against live carrier infrastructure. You describe what you need the same way you'd ask a colleague.
1. Your AI agent picks up the intent from context.
2. MCP routes the request to the right Easyship operation.
3. Easyship runs it against live carrier infrastructure in real time.
4. You get the result back in chat: a rate, a label, a tracking update, a report.
All the carrier logic and API handling stays out of view. The same 99.99% API uptime SLA that powers Easyship's enterprise customers powers the MCP server underneath.
The Easyship MCP Server sits on top of the same API but collapses the integration work into natural language. A direct Easyship API integration requires writing code for each endpoint, formatting payloads, and parsing responses. With MCP, the AI agent sends intent and MCP handles execution. Development effort drops, and the same enterprise-grade API powers both paths underneath.
The Easyship MCP Server exposes 25 callable tools. Below is each one, what it does, and a sample prompt that triggers it.
The Easyship MCP Server offers two connection methods.
Remote (recommended for most users). Connect directly to https://mcp.easyship.com/mcp using your Bearer token. No installation, no local dependencies.
Local. Run easyship-mcp on your machine via uvx. Requires Python 3.8+ and uv installed.
The Easyship MCP Server is available to all new and existing Easyship account holders at no additional cost.
1. Sign up for a free Easyship account at easyship.com.
2. Generate an API token from the Easyship Dashboard with the required shipping, label, tracking, and analytics scopes.
3. Visit the developer documentation at developers.easyship.com/docs/easyship-mcp-server for platform-specific setup instructions.
4. Add the Easyship MCP Server to your AI client and paste the token into the secure settings menu.
5. Type a shipping request in natural language. Your AI agent handles the rest.
The Easyship MCP Server handles sensitive shipping data, so follow these practices when setting up the integration.
• Store API keys in environment variables. Never commit them to version control.
• Use separate API tokens for development, staging, and production environments.
• Scope tokens to the minimum permissions your workflow requires.
• Validate addresses before creating shipments to prevent fulfillment errors.
• Monitor API usage for unusual patterns and apply rate limiting in production.
The Easyship platform includes built-in security features to support compliant, production-ready integrations.
Agentic commerce is becoming the default. The Easyship MCP Server is the shipping layer that runs underneath it.
Sign up for a free Easyship account, install the server, and run your first prompt. From there, hook the same MCP into your Shopify store, your customer service bot, or your finance team's analytics workflow.
What is the Easyship MCP Server?
The Easyship MCP Server is a developer integration that exposes Easyship's shipping capabilities (rate fetching, label creation, tracking, address validation, analytics, and more) as callable tools for MCP-compatible AI clients. AI agents can execute real shipping actions through natural language instructions instead of direct API calls.
What AI tools are compatible with the Easyship MCP Server?
Any MCP-compatible client. Confirmed support today: Claude (Desktop and Code), ChatGPT (via OpenAI Responses API), Cursor, Windsurf, Antigravity, OpenAI Agents SDK, Gemini CLI, Codex CLI, and VS Code. Workflow automation tools n8n, Make, Zapier, Activepieces, and Celigo also work natively.
What API scopes do I need to get started?
Scope requirements depend on the features you use. Core workflows require public.shipment:write, public.shipment:read, public.label:write, and public.track:read. Address validation, pickup management, and transaction access each have their own dedicated scopes that can be enabled as needed.
Does the Easyship MCP Server support international shipping?
Yes. The server supports international shipment creation, cross-border address validation, customs document generation, real-time tax and duty calculation for 200+ countries and territories, and carrier selection for global routes. All accessible through natural language prompts.
How is this different from using the Easyship API directly?
A direct API integration requires writing code for each endpoint, managing payload formatting, and handling response parsing. With MCP, the AI agent sends natural language intent and MCP handles the API execution behind the scenes. Development effort drops significantly when building agentic shipping workflows.
How long does setup take?
Basic setup typically takes a few minutes. You need an active Easyship account, an API token with the relevant scopes, and an MCP-compatible client. Workflows with custom business logic or multi-system integrations may take longer to configure and test.
Is the Easyship MCP Server secure for production use?
Yes, when implemented with proper practices. Use environment-specific API tokens, restrict scopes to the workflow's actual needs, store credentials in environment variables rather than in code, and validate addresses before creating shipments. The Easyship platform includes built-in security features to support production-grade deployments.
Can I create a shipment without immediately buying a label?
Yes. Omit buy_label or set it to false when creating the shipment. The shipment saves in draft state, and you can purchase the label separately using create_label when ready.
Will fetching rates cost me anything?
No. Fetching rates, listing shipments, tracking, and analytics queries are all free. Credits are only consumed when you purchase a label or book a courier pickup.
Do my existing Easyship shipping rules and automation settings apply?
Yes. All shipping rules, rate preferences, and automation settings apply to shipments created through MCP exactly as they do in the dashboard.
Can I use this with Shopify?
Yes. Connect your AI agent to both Shopify and the Easyship MCP Server to manage cross-platform order fulfillment in one chat. Pull unfulfilled orders from Shopify and create shipments, buy labels, or schedule pickups through Easyship without switching tools.
Where can I find the package and source code?
The easyship-mcp package is available on PyPI. The AI Toolkit is on GitHub. The server is also listed on the MCP Registry. To update to the latest version: pip install --upgrade easyship-mcp.
Key Points
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