Do I need a FedEx account to use this MCP server?

For tracking and address validation, you only need free API credentials from the FedEx Developer Portal. For creating shipments and generating labels, a valid FedEx shipping account number is required.

Can this MCP server generate shipping labels?

Yes! The create_shipment tool generates a shipping label (PDF format) and returns the tracking number. You'll need your FedEx account number, shipper/recipient details, and package specifications. The label is returned as a URL or encoded string ready for printing.

How many packages can I track at once?

The track_multiple_packages tool allows tracking up to 30 packages in a single request. For larger batch tracking, you can make multiple requests. Each individual tracking request returns full scan history and delivery status.

FedEx MCP Server for Mastra AI 9 tools — connect in under 2 minutes

Name: FedEx
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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: {
      "fedex": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FedEx Agent",
    instructions:
      "You help users interact with FedEx " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 FedEx MCP Server

What you can do

Connect AI agents to the FedEx API suite for end-to-end logistics management:

Mastra's agent abstraction provides a clean separation between LLM logic and FedEx tool infrastructure. Connect 9 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.

Track packages in real-time with detailed scan history and delivery estimates
Track multiple packages simultaneously for batch monitoring
Get shipping rates across all FedEx services (Express, Ground, Freight)
Create shipments and generate shipping labels directly
Validate addresses to prevent delivery failures
Find nearby FedEx locations (offices, drop boxes, ship centers)
Verify postal codes and check service availability between locations
Get proof of delivery documents for completed shipments

The FedEx MCP Server exposes 9 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 FedEx to Mastra AI via MCP

Follow these steps to integrate the FedEx 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 9 tools from FedEx via MCP

Why Use Mastra AI with the FedEx MCP Server

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

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add FedEx 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 FedEx 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

FedEx + Mastra AI Use Cases

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

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

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

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

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

FedEx MCP Tools for Mastra AI (9)

These 9 tools become available when you connect FedEx to Mastra AI via MCP:

check_service_availability

Includes service names, transit times, and availability status. Use this to verify if Express, Ground, or Freight services operate between specific postal codes before quoting or booking shipments. Check if FedEx shipping services are available between two locations

create_shipment

Requires shipper/recipient details, package weight/dimensions, and service type. Returns tracking number, label format, and estimated delivery date. Use this to generate labels for outbound shipments or process returns. Create a FedEx shipment and generate a shipping label

find_locations

Includes location type (FedEx Office, Ship Center, Drop Box), address, hours of operation, and services offered. Use this to find where to drop off packages, print labels, or access packing supplies. Find nearby FedEx locations (drop-off points, offices, or drop boxes)

get_postal_code

Use this to verify postal codes before shipping or to resolve ambiguous addresses. Validate a postal/ZIP code and get location details

get_proof_of_delivery

Returns POD image URL, delivery date, recipient name, and signature status. Use this to confirm successful delivery for billing disputes, insurance claims, or customer inquiries. Get proof of delivery (POD) document for a delivered FedEx package

get_rates

Requires origin/destination postal codes, package weight, and dimensions. Returns service type, rate, currency, and estimated delivery date. Use this to compare shipping costs or choose the most economical service. Get shipping rates and transit times for FedEx services

track_multiple_packages

Returns an array of results with status, scans, and delivery info for each. Requires an array of tracking numbers. Use this for batch monitoring of multiple shipments or checking the status of a multi-piece delivery. Track multiple FedEx packages in a single request

track_package

Requires the 12-15 digit tracking number. Use this to monitor shipment progress, verify delivery, or investigate delays. Track a single FedEx package by tracking number

validate_address

Returns standardized format, validation status, and suggestions if the address is incorrect. Requires street lines, city, state, and postal code. Use this to prevent delivery failures, correct typos in addresses, or verify international addresses before shipping. Validate and standardize a shipping address with FedEx