Bring Wms
to Mastra AI
Learn how to connect ShipHero to Mastra AI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the ShipHero MCP Server?
Connect your ShipHero account to any AI agent to streamline your warehouse and fulfillment operations through natural language.
What you can do
- Order Management — List recent orders and create new ones with full shipping and line item details.
- Inventory Control — Check real-time stock levels by SKU, track history of inventory changes, and add or remove stock instantly.
- Bulk Operations — Sync inventory levels in bulk using CSV URLs for rapid warehouse updates.
- Product Insights — Retrieve deep metadata for products, including warehouse-specific availability and legacy ID conversion.
- Automation — Register webhooks to stay updated on inventory changes or order statuses.
How it works
- Subscribe to this server
- Enter your ShipHero Access Token
- Start managing your logistics from Claude, Cursor, or any MCP-compatible client
Who is this for?
- E-commerce Managers — monitor fulfillment health and stock levels without leaving your workspace
- Operations Teams — quickly adjust inventory and track movement history during audits
- Developers — integrate warehouse data into your workflow and test webhooks via simple prompts
Built-in capabilities (8)
Add or remove inventory for a SKU
Create a new order in ShipHero
Register a new webhook
Get product details by SKU
Get UUID from a legacy numeric ID
List inventory changes for a SKU
List ShipHero orders
Bulk sync inventory via CSV URL
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and ShipHero tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ShipHero without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every ShipHero tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ShipHero in Mastra AI
ShipHero and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ShipHero to Mastra AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ShipHero in Mastra AI
The ShipHero MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
ShipHero for Mastra AI
Every tool call from Mastra AI to the ShipHero MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I track the history of stock movements for a specific product?
You can use the list_inventory_changes tool by providing the product SKU. It will return a detailed history of inventory adjustments, helping you audit stock movements over time.
Is it possible to bulk update inventory levels across my warehouse?
Yes! The sync_inventory tool allows you to provide a URL to a CSV file containing your inventory data. The server will process the file and sync the levels for the specified warehouse ID.
What should I do if I only have a legacy numeric ID for an order or product?
Use the get_uuid tool. It is specifically designed to convert legacy numeric IDs into the opaque UUIDs required by the modern ShipHero API for entities like Orders or Products.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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