MCP for E-Commerce — Business-Context AI Agents

A proof of concept that uses the Model Context Protocol (MCP) to give an e-commerce company's AI agents the business context they need to run operations — live orders, inventory, logistics, returns, claims, and payments — safely and at scale.

📖 Full documentation: https://yassineteimi.github.io/mcp-ecommerce-agent/

The idea

A general LLM doesn't know that order #88213 is late because its driver called in sick. MCP connects AI agents to real business systems through one open standard, turning a brittle N×M web of integrations into a reusable N+M model: wrap each system once as an MCP server, and any agent can use it.

The PoC follows a deliberate maturity path:

1. Internal first — a supply-chain manager gets an assistant with governed, read-mostly access to every fulfilment system; the agent proposes actions, a human approves them.

2. Mature — enable trusted write actions (reorder, reroute, approve return) behind guardrails, audit, and evaluation.

3. Customer-facing — expose a curated, per-tenant-isolated subset (order tracking, returns) into the customer experience.

Related MCP server: commercetools MCP Essentials

How it works

• Servers, one per domain — Orders, Inventory, Logistics, Returns, Claims, Payments — each fronting a system of record with isolated credentials.

• Three MCP primitives — Resources (read-only context), Tools (human-approved actions), Prompts (reusable operating procedures).

• Built with the Python MCP SDK (FastMCP) — a complete server is ~15 lines; the same code runs locally over stdio or remotely over Streamable HTTP.

• Secure by design — OAuth 2.1 authorization, role-based scoped access, per-server least privilege, transport hardening, and per-tenant isolation for the customer phase.

Documentation

Docs are built with MkDocs Material and deployed to GitHub Pages by .github/workflows/ci.yml on every push to main.

Status

A design-led proof of concept: the architecture, code patterns, and security model are production-shaped and standards-accurate, illustrated against a representative e-commerce domain. Learn more about MCP at modelcontextprotocol.io.