MCP E-Commerce Agent
A proof of concept MCP server that gives AI agents business context for e-commerce operations including orders, inventory, logistics, returns, claims, and payments.
README
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:
- 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.
- Mature — enable trusted write actions (reorder, reroute, approve return) behind guardrails, audit, and evaluation.
- 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.
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