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Wherefour MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Get Inventory Item, Get Order, List Customers, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wherefour through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Wherefour app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "wherefour": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Wherefour Agent",
    instructions:
      "You help users interact with Wherefour " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Wherefour?"
  );
  console.log(result.text);
}

main();
Wherefour
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* 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

About Wherefour MCP Server

Connect your Wherefour account to any AI agent to automate your inventory management, production tracking, and lot traceability. Wherefour provides a specialized ERP platform for manufacturers and producers to maintain end-to-end transparency across their supply chain.

Mastra's agent abstraction provides a clean separation between LLM logic and Wherefour tool infrastructure. Connect 12 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.

What you can do

  • Inventory & Catalog Orchestration — List and search inventory items with detailed metadata, including product codes and manufacturing specifications.
  • Lot Traceability — Access stock lot details and batch information to maintain comprehensive quality control and compliance.
  • Order Management — Retrieve and monitor sales orders and production orders to keep your manufacturing workflow on track.
  • Stakeholder Directory — Access and manage your database of customers, vendors, and suppliers programmatically.
  • Financial Insights — Retrieve billing invoices and purchase records directly from the AI interface to monitor operational costs.
  • Resource Navigation — Explore storage locations and manufacturing formulas using natural language commands.

The Wherefour MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Wherefour tools available for Mastra AI

When Mastra AI connects to Wherefour through Vinkius, your AI agent gets direct access to every tool listed below — spanning lot-traceability, production-tracking, manufacturing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_inventory_item

Get details of a specific inventory item

get_order

Get details of a specific order

list_customers

List all customers

list_formulas

List production formulas/recipes

list_inventory_items

List all inventory items

list_invoices

List customer invoices

list_locations

List storage locations

list_orders

List all sales and production orders

list_purchases

List purchase records

list_stock_lots

List all stock lots

list_vendors

List all vendors/suppliers

search_inventory

Search for inventory items

Connect Wherefour to Mastra AI via MCP

Follow these steps to wire Wherefour into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Wherefour via MCP

Why Use Mastra AI with the Wherefour MCP Server

Mastra AI provides unique advantages when paired with Wherefour through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Wherefour without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Wherefour tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Wherefour + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Wherefour MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Wherefour, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Wherefour as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Wherefour on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Wherefour tools alongside other MCP servers

Example Prompts for Wherefour in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Wherefour immediately.

01

"Search our inventory for 'Organic Cane Sugar' and pull up the production formula that uses it for the upcoming beverage batch."

02

"Check the lot traceability for batch 'L-2024-QT3' of Arabica Coffee Beans and tell me which warehouse location it is currently stored in."

03

"List all pending production orders for 'Acme Supermarkets' and verify if their latest invoice from last month has been paid."

Troubleshooting Wherefour MCP Server with Mastra AI

Common issues when connecting Wherefour to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Wherefour + Mastra AI FAQ

Common questions about integrating Wherefour MCP Server with Mastra AI.

01

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.
02

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.
03

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.