AI-Native Infrastructure - Live Now

Built for agents. Ready for what is next.

The first post-checkout platform with a native MCP Server. AI agents can manage orders, allocate inventory, orchestrate fulfillment, book shipments, handle returns, and optimize the entire post-checkout workflow - autonomously. Not a chatbot. Not an add-on. Native access to the full platform through open protocols.

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Terminal

MCP Server URL: https://mcp.carriyo.com/mcp

 

> Connecting to Carriyo MCP...

> Authorized via user credentials

> 63 tools registered

> Ready for AI agent connections

WHAT IS MCP

The protocol that lets AI agents talk to business systems.

FOR TECHNICAL LEADERS

Model Context Protocol (MCP) is an open standard that defines how AI agents discover and interact with external tools and data sources. It provides a structured, secure interface for LLMs to call functions, query data, and take actions in external systems.

Carriyo implements the full MCP specification, exposing 63 tools across the complete post-checkout lifecycle: orders, inventory, fulfillment, shipping, returns, and analytics.

FOR BUSINESS LEADERS

Think of MCP as a universal translator between AI assistants and your business software. Instead of building custom integrations for every AI tool, MCP provides a single, secure connection point.

Carriyo's MCP Server means any AI agent can manage your entire post-checkout operation - orders, inventory, fulfillment, shipping, returns, and analytics - without engineering work. One connection replaces the entire stack.

CAPABILITIES

What AI agents can do with Carriyo.

Manage Orders & Inventory

Allocate orders automatically with customizable rules. Check inventory across multiple locations. Create and manage inventory reservations in real time.

Orchestrate Fulfillment

Trigger pick and pack workflows. Manage click and collect, PUDO (pick up drop off), and traditional delivery scenarios from a single interface.

Book & Manage Shipments

Create, update, and cancel shipments programmatically. Assign carriers based on AI-driven analysis of cost, speed, and reliability.

Handle Exceptions

Detect delivery delays and failures. Auto-reassign shipments to backup carriers. Trigger proactive customer notifications.

Process Returns

Accept return requests, apply approval rules, assign reverse logistics carriers, and track return shipments end to end.

Generate Reports & Insights

Surface insights on shipping costs, carrier performance, delivery times, fulfillment efficiency, and customer satisfaction without writing a single query.

ARCHITECTURE

How it works.

YOUR AI AGENT

Claude, GPT, custom agent

MCP Client

MCP Protocol (JSON-RPC over stdio/SSE)

Carriyo MCP Server

Authentication & Permissions Layer

63 Tools Registered

Orders

allocate, route, manage

Inventory

query, reserve, sync

Fulfillment

pick, pack, collect

Shipment

create, update, track

Returns

initiate, approve, track

Analytics

reports, SLA, perf

Carriyo REST API

Order Management

Inventory Locations

Fulfillment App

100+ Carriers

Returns & Reverse

Analytics

eCommerce Connectors

Webhooks

Secure

API-key authentication. Every request is authenticated, authorized, and logged. TLS encryption in transit.

Permissioned

Scope tools per agent. Control exactly what each AI agent can read, write, and execute. Role-based access.

Event-Driven

Real-time webhooks notify agents of order updates, fulfillment progress, shipment status changes, return requests, exceptions, and SLA breaches as they happen.

USE CASES

See it in action.

Scenario: Automated Shipment Booking

  1. 1.Customer places order on Shopify store
  2. 2.Webhook triggers AI agent
  3. 3.Agent queries carrier performance via MCP
  4. 4.Agent selects optimal carrier based on cost, speed, and reliability
  5. 5.Agent books shipment and confirms to customer

Zero human involvement. Under 2 seconds.

auto-booking.js
// AI agent receives order webhook from Carriyo

const shipment = await mcp.callTool(
  "create_shipment",
  {
    order_id: "ORD-4521",
    carrier: bestCarrier,
    service: "express",
  }
);

// Result: Shipment booked,
// label generated, customer
// notified -- in 2 seconds

DEVELOPER EXPERIENCE

One URL to connect.
Sixty-three tools to use.

MCP Server URL
https://mcp.carriyo.com/mcp

Available tools:

Orders

9 tools

  • allocate_order
  • get_order
  • list_orders
  • update_order
  • cancel_order
  • + 4 more

Inventory

7 tools

  • query_inventory
  • reserve_inventory
  • release_reservation
  • get_stock_levels
  • list_locations
  • + 2 more

Fulfillment

8 tools

  • create_fulfillment_task
  • update_fulfillment_status
  • get_pick_list
  • confirm_pack
  • manage_collection
  • + 3 more

Shipments

14 tools

  • create_shipment
  • update_shipment
  • cancel_shipment
  • get_shipment
  • list_shipments
  • track_shipment
  • + 8 more

Returns

8 tools

  • initiate_return
  • approve_return
  • reject_return
  • track_return
  • get_return_status
  • + 3 more

Analytics

17 tools

  • get_dashboard
  • get_sla_report
  • get_cost_report
  • get_fulfillment_metrics
  • get_inventory_report
  • get_trend_analysis
  • + 11 more

COMPATIBILITY

Works with every MCP-compatible AI platform.

Claude
Anthropic
GPT
OpenAI
Cursor
Cursor
Windsurf
Codeium
Custom Agents
Any MCP client
Langchain
Langchain
CrewAI
CrewAI
AutoGen
Microsoft

Any AI agent that speaks MCP can connect to Carriyo and operate the full post-checkout platform. No custom integration code. No middleware. No point-solution stitching.

THE BIGGER PICTURE

The post-checkout platform, operated by AI.

  • Human reviews orders in the OMS.

  • Checks inventory across locations manually.

  • Allocates to a fulfillment location.

  • Triggers pick and pack in the WMS.

  • Selects carrier and books shipment.

  • Monitors for exceptions and handles returns.

  • Pulls reports from three different dashboards.

Five point solutions. Fifteen minutes per order.

  • AI agent receives order event.

  • Checks inventory and allocates to optimal location.

  • Triggers fulfillment and pick-and-pack.

  • Selects optimal carrier and books shipment.

  • Monitors SLAs and handles exceptions.

  • Processes returns and reverse logistics.

  • Surfaces insights and optimizes continuously.

One platform. One connection. Two seconds per order.

This is not shipping automation with an AI wrapper. This is the complete post-checkout platform - orders, inventory, fulfillment, shipping, returns, and analytics - with native AI access built into every layer. The platforms that provide this will be the infrastructure of the next decade. Carriyo is building that infrastructure now.

GET STARTED

Up and running in five minutes.

01

Add the MCP connector

Open your preferred AI agent app (Claude, Cursor, Windsurf, or any MCP-compatible client) and add a new MCP server connection.

02

Enter the Carriyo MCP URL

Point your agent to the Carriyo MCP server endpoint. No installation required.

MCP Server URL
https://mcp.carriyo.com/mcp

03

Authorize and start using tools

Connect to the MCP server and authorize your agent using your Carriyo user credentials. Once authenticated, your agent has access to 63 tools across the entire post-checkout lifecycle. Try: "Check inventory for SKU-7890 across all locations, allocate to the nearest warehouse, trigger pick and pack, and book the cheapest carrier to Dubai."

View Full DocumentationView Documentation

From checkout to doorstep - managed by AI agents.

Connect your AI agent to the complete post-checkout platform in five minutes. Or talk to our team about what autonomous commerce operations look like for your business.

Get StartedTalk to an EngineerView Docs