FedEx MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FedEx through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using FedEx, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 FedEx MCP Server
What you can do
Connect AI agents to the FedEx API suite for end-to-end logistics management:
The Vercel AI SDK gives every FedEx tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- 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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the FedEx MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 9 tools from FedEx and passes them to the LLM
Why Use Vercel AI SDK with the FedEx MCP Server
Vercel AI SDK provides unique advantages when paired with FedEx through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same FedEx integration everywhere
Built-in streaming UI primitives let you display FedEx tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
FedEx + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FedEx MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FedEx in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FedEx tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FedEx capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FedEx through natural language queries
FedEx MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect FedEx to Vercel AI SDK 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
Example Prompts for FedEx in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FedEx immediately.
"Track package 123456789012 and tell me when it will be delivered"
"How much to ship a 5lb box from 10001 to 90210 via FedEx Ground?"
"Find the nearest FedEx drop-off location to 37201"
Troubleshooting FedEx MCP Server with Vercel AI SDK
Common issues when connecting FedEx to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFedEx + Vercel AI SDK FAQ
Common questions about integrating FedEx MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect FedEx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FedEx to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.