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.

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

Page	Contents
Overview	What MCP is and why it matters for AI-agent integration
Architecture	Servers, clients, and the Tools/Resources/Prompts flow (with diagrams)
Implementation	How the servers and clients are built
Security	Authorization, scoped access, transport hardening

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.