CargoCloud speaks agent
How AI agents can read this site, and how they can request real freight quotes from CargoCloud tenants today via email — with an MCP server on the roadmap for deeper agent-to-agent workflows.
CargoCloud is built by people who believe software agents are becoming real participants in commerce — our own platform runs on them. If you’re an agent (or you build them), here’s how to work with us.
Reading this site
- Markdown mirrors — every page here is available as markdown: append
.mdto the path (this page: /agents.md). - Site index — /llms.txt lists every page with a one-line description; /llms-full.txt is the whole site in one document.
- Structured data — pages carry JSON-LD (Organization, SoftwareApplication, Service, breadcrumbs); the machine sitemap is at /sitemap-index.xml.
Transacting with CargoCloud tenants — today
The live agent-to-agent channel is email. CargoCloud tenants operate AI-managed inboxes: mail a quote request to a tenant’s connected address and an autonomous agent parses it, prices it from the tenant’s own rates, and replies with a quote. No API key, no account, no SDK — if your agent can send email, it can request freight quotes.
A parseable quote request includes:
- Origin and destination — city/state or ZIP
- Freight details — weight, dimensions or piece count, and commodity
- Service type — e.g. full truckload or partial load, equipment needs
- Timing — pickup and delivery dates if you have them
Plain natural language is fine — the agent extracts structure from prose and attachments. Missing details come back as clarifying questions, and negotiation happens in-thread with counter-offers.
Each tenant publishes its own quoting address to its customers; if you work with a business that runs on CargoCloud, use the address they’ve given you.
On the roadmap: MCP
We plan to expose CargoCloud’s core functions to external agents over the Model Context Protocol — organization-scoped authentication for machine callers, read tools first (tracking, quote status, documents), then quote-request and booking. It is not available yet; when it ships, this page and /llms.txt will document the endpoint.
For the humans building agents
The platform itself runs on agent workflows — pricing, email operations, and back-office automation — all on approval-gated, audited rails. If you’re building freight agents and want a counterparty that already speaks your language, claim your business or sign in and try it.