DCL Logistics MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DCL Logistics through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"dcl-logistics": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DCL Logistics Agent",
instructions:
"You help users interact with DCL Logistics " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DCL Logistics?"
);
console.log(result.text);
}
main();
* 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 DCL Logistics MCP Server
Integrate DCL Logistics, the leader in third-party logistics (3PL) and fulfillment, directly into your AI workflow. Manage your fulfillment orders, track shipments in real-time, and monitor warehouse inventory levels using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and DCL Logistics tool infrastructure. Connect 10 tools through the 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
- Order Oversight — List and retrieve detailed statuses for all your fulfillment orders across DCL facilities.
- Shipment Tracking — Track recent shipments, access carrier details, and monitor delivery progress.
- Inventory Management — Check real-time stock levels for your SKUs and identify low-stock items.
- Return Processing — Monitor customer returns (RMAs) and their processing status directly via chat.
The DCL Logistics MCP Server exposes 10 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.
How to Connect DCL Logistics to Mastra AI via MCP
Follow these steps to integrate the DCL Logistics MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from DCL Logistics via MCP
Why Use Mastra AI with the DCL Logistics MCP Server
Mastra AI provides unique advantages when paired with DCL Logistics through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add DCL Logistics 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 DCL Logistics 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
DCL Logistics + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DCL Logistics MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DCL Logistics, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DCL Logistics as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DCL Logistics on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DCL Logistics tools alongside other MCP servers
DCL Logistics MCP Tools for Mastra AI (10)
These 10 tools become available when you connect DCL Logistics to Mastra AI via MCP:
get_account_details
Returns account-level metadata such as company name, service tier, and active warehouse assignments. Retrieve metadata for your DCL Logistics account
get_order_details
Resolves line item details, recipient addresses, and the complete audit trail of order processing events. Get detailed information for a specific order
get_shipment_details
Resolves carrier-level status updates, estimated delivery dates, and proof of delivery (if available). Get tracking and shipping details for a specific shipment ID
get_sku_inventory_status
Provides a detailed breakdown of inventory status, including warehouse locations and any pending stock movements. Get current stock level and status for a specific SKU
list_customer_returns
Returns a list of Return Merchandise Authorizations (RMAs) including return reason, status of the returned goods, and credit processing info. List all processed and pending customer returns (RMAs)
list_fulfillment_orders
Returns order metadata including system IDs, current fulfillment status, and customer identifiers. List all fulfillment orders in your DCL account
list_low_stock_items
Identifies SKUs where the available quantity has fallen below the defined reorder point (e.g., < 10 units). Identify items with inventory levels below a threshold (mock logic)
list_recent_shipments
Returns a collection of shipment objects with associated carrier info, tracking numbers, and departure timestamps. List all shipments processed by DCL
list_warehouse_inventory
Returns a list of SKUs with their total on-hand, available, and reserved quantities. List current inventory levels across all items
search_orders_by_keyword
Matches keywords against order references, customer names, and shipping addresses to isolate specific fulfillment records. Search for orders using a keyword or customer name
Example Prompts for DCL Logistics in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with DCL Logistics immediately.
"List all fulfillment orders that are 'Awaiting Shipment'."
"What is the inventory status for SKU 'WR-9988'?"
"Show me the tracking details for shipment 'SHP-1001'."
Troubleshooting DCL Logistics MCP Server with Mastra AI
Common issues when connecting DCL Logistics to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDCL Logistics + Mastra AI FAQ
Common questions about integrating DCL Logistics MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
Connect DCL Logistics with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DCL Logistics to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.