Context
The assistant understands shipment files
It can use statuses, documents, costs, suppliers, forwarders, delays and emissions available in OneChain.
A standardized access layer to OneChain context for AI assistants
Connect Claude or ChatGPT to your freight operations
OneChain MCP lets your AI tools query shipments, costs, documents, delays, invoices and emissions without manual exports or a heavy integration project.
Request MCP accessTarget demo
38 seconds vs 2 hours
Question Q1 costs
Source OneChain
Output CFO email
Why MCP
A protocol to connect assistants to the operational system
MCP avoids one-off exports and prompts without context. The assistant queries a controlled source of truth.
Standard
An interface built for LLMs
MCP exposes OneChain tools and data in a format modern assistants can consume.
Control
Secure by default
The first use cases focus on read, analysis and synthesis, with explicitly framed permissions.
See Headless Demo 
The user asks a question in their AI assistant. The assistant calls OneChain through MCP with authorized permissions. OneChain returns the relevant freight data. The assistant prepares a summary without manipulating a manual export.
From freight question to ready-to-send summary
The demo case: ask an assistant to summarize quarterly freight costs, explain variances and prepare an email for finance leadership.
The user asks a question in their AI assistant. The assistant calls OneChain through MCP with authorized permissions. OneChain returns the relevant freight data. The assistant prepares a summary without manipulating a manual export. 01
Natural-language question
Which Q1 freight costs explain the budget variance and what should I send to the CFO?
02
OneChain MCP call
The assistant retrieves costs, volumes, delays, forwarders, emissions and invoice anomalies.
03
Actionable summary
A structured email is ready with figures, likely causes and decisions to make.
Possible questions
What your teams can ask
The examples below remain focused on analysis and management while MCP is in early access.
Finance
Why did freight spend exceed budget this quarter?
Compare volumes, unit costs, surcharges, forwarders and invoice discrepancies over a period.
Operations
Which shipments may block this week?
List shipments without booking, without POD, late or missing critical documents.
Procurement
Which forwarders perform best on this lane?
Compare lead times, costs, delay rate, document quality and update reliability.
Sustainability
Which flows explain our CO₂ emissions?
Summarize emissions, modes, lanes and cost-carbon tradeoffs from OneChain reporting.
Invoices
Which discrepancies should be challenged?
Identify invoices where surcharge, currency, quantity or rate does not match quote or rate sheet.
Leadership
Prepare a summary email for the supply committee
Turn OneChain indicators into a clear, quantified message ready for review.
Positioning
MCP makes the TMS queryable by agents
OneChain MCP is presented in early access: the goal is to frame use cases with IT, data and supply teams before general availability.
MCP access standard for AI assistants
Read-only first cases focused on analysis
Early access framed by use case
Early access
Join the MCP early access
Describe the assistant you use, the freight data you want to query and the security level you expect. We will get back to you to qualify the case.
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