Compatible with every major AI agent and IDE
What is the Megaventory MCP Server?
Connect your Megaventory account to any AI agent and manage inventory and order fulfillment through natural conversation.
What you can do
- Inventory Tracking — Check stock levels across multiple locations
- Order Processing — Manage sales orders and purchase orders
- Manufacturing — Track work orders and bill of materials (BOM)
- Supplier Management — Manage supplier details and pricing
- Fulfillment — Track shipments, returns, and inventory transfers
How it works
- Subscribe to this server
- Enter your Megaventory API Key
- Start managing inventory and orders from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Operations Managers — track multi-location inventory
- E-commerce — automate fulfillment and purchase orders
- Manufacturers — manage work orders and raw materials
Built-in capabilities (14)
Verify connectivity
Get all inventory stock
Get product by SKU
Get sales order details
Get stock by product
List product categories
List inventory locations
List products
List purchase orders
List sales orders
List suppliers and clients
Update a product
Update sales order
Update supplier/client
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Megaventory tool infrastructure. Connect 14 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.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Megaventory without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every Megaventory tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Megaventory in Mastra AI
Megaventory and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Megaventory 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 Megaventory in Mastra AI
The Megaventory 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 14 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
Megaventory for Mastra AI
Every tool call from Mastra AI to the Megaventory MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check stock levels across multiple locations?
Yes. Query inventory levels, incoming stock, and outgoing orders across all your defined warehouse locations.
How does Megaventory authentication work?
Megaventory uses a custom API Key header against api.megaventory.com/v2017a.
Can I manage manufacturing work orders?
Yes. Track work orders, manage Bill of Materials (BOM), and monitor raw material allocation for production.
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
Explore More MCP Servers
View all →
Elemeno
10 toolsEquip your AI agent to manage content collections, track singletons, and monitor items via the Elemeno CMS API.

Oxylabs SERP
10 toolsExtract structured search engine results via Oxylabs — scrape Google, Bing, Yandex, Baidu, and YouTube rankings directly from your AI agent.

Scale AI
11 toolsAutomate high-quality data labeling and RLHF workflows via Scale AI — create projects, manage batches, and submit annotation tasks directly from your AI agent.

Liveblocks (Collaborative)
19 toolsManage real-time collaborative rooms, user presence, and shared storage via Liveblocks — list rooms, track active users, and handle threads directly from your AI agent.
