Web & Platform Engineering

Agent-to-Agent Commerce Infrastructure (MCP)

Model Context Protocol (MCP) endpoints and machine-readable product schemas enabling non-human AI buyer purchasing.

We prepare your e-commerce and digital service platform for the emerging machine-to-machine economy, where human shoppers delegate purchasing research and transactions to autonomous AI assistants. Our team engineers standardized Model Context Protocol (MCP) endpoints, machine-readable catalog schemas, and secure tokenized checkout flows that allow consumer software assistants to discover, verify, negotiate, and purchase your products programmatically without human friction or browser barriers.

⏱ Timeline4 to 8 Weeks API architecture and validation
πŸ›‘ Delivery ModelFixed infrastructure build
πŸ”‘ OwnershipYou own the code and data
Core Tech Stack:Model Context Protocol (MCP)TypeScriptNode.jsFastAPIStripe APIJSON-LDDocker

By Ramzi Ahmad, founder

Typical timeline: 4 to 8 Weeks API architecture and validation. Quoted after a free call, with the price fixed in writing before work starts.

Proven Engineering Workflow

How Zebeh Executes This Service: Step-by-Step

No black-box ambiguity. Transparent sprint milestones with direct engineering review at every phase.

01

Architecture & Schema Design

We audit your product catalog and design machine-readable schemas optimized for LLM tool use.

Stage 1 Milestone
02

MCP Server Development

We build secure, low-latency MCP server endpoints exposing inventory, pricing, and checkout tools.

Stage 2 Milestone
03

Security & Sandbox Simulation

We test purchasing loops with synthetic buyer systems, enforcing spend limits and fraud gates.

Stage 3 Milestone
04

Production Deployment & Specs

We deploy hardened endpoints, release machine-readable specs, and monitor traffic.

Stage 4 Milestone
Scope of Work

Exact Deliverables Included in the Agreement

Everything you receive upon completion. Zero hidden charges, zero surprise omissions.

Deliverables in the agreement
Technical audit of existing e-commerce platform APIs, inventory databases, and checkout workflows
Architecture and hosting of dedicated Model Context Protocol (MCP) endpoints compliant with Anthropic and OpenAI standards
Structured schema transformation converting catalog data into high-density vector and JSON-LD formats
Real-time stock availability, pricing, and shipping parameter endpoints optimized for low token usage
Secure authentication mechanisms utilizing delegated OAuth tokens and cryptographic spend limits
Automated order creation and payment settlement integration with Stripe or payment gateways
Sandbox environment simulating automated buying journeys to stress-test discovery and checkout
Comprehensive developer documentation and machine-readable OpenAPI and MCP specifications
Ongoing API maintenance, schema versioning, and compatibility updates as protocols evolve

Who It’s For

Ideal Client Profile

E-commerce retailers, booking platforms, hospitality providers, and SaaS businesses preparing for the next wave of non-human, AI-delegated purchasing volume.

Prerequisites to Start:Valid business registration, clear service offering, and 30 minutes for initial technical discovery.

Measurable Business Impact

Client outcomes

You own what we build

You own your digital assets. The source code, domain name, Google Workspace email accounts, Google Business Profile, and customer database belong to your company.

Book a free 30-min call
Clarity & Specifications

Frequently Asked Questions

What is the Model Context Protocol (MCP) and why is it important for commerce?+

The Model Context Protocol is an open standard established by Anthropic that allows foundation models to interact directly with external databases and tools. By deploying an MCP commerce server, your store becomes a native tool that AI assistants can search, query, and transact with directly.

How are payments handled securely when an AI assistant initiates a purchase?+

Transactions execute through tokenized payment delegation protocols such as Stripe Shared Customer Sessions. The human shopper pre-authorizes a cryptographic spend limit with their assistant, ensuring the model never accesses raw credit card numbers or exceeds authorized amounts.

Will deploying MCP endpoints interfere with our current human-facing website?+

No. MCP endpoints operate as independent, lightweight API services running alongside your primary website, leaving human shopping flows, branding, and standard checkout experiences completely untouched.

Which AI assistants currently support MCP integrations?+

MCP is natively supported across Claude Desktop and developer ecosystems, with rapid adoption across OpenAI tool-calling integrations, LangChain, and emerging autonomous consumer shopping platforms.

How much does this cost?+

Every project is quoted after a free 30-minute consultation call, because precise scope and architecture drive cost. Zebeh operates with transparent pricing across three tiers: Starter for single-location businesses, Advanced for growing or multi-branch operations, and Custom for custom platforms. You receive a fixed, binding written quote with guaranteed milestones and deliverables before any work begins, and ongoing infrastructure maintenance is billed on a predictable monthly retainer.

How this page is put together

The scope, timeline and questions come from projects we have delivered. Any figure on this page comes from a linked case study and is the figure the client reported to us. We do not list prices because each project is quoted after a free call, with the price fixed in writing before work starts.

Ask about agent-to-agent commerce

A short question is enough. We reply by email, usually within one working day.

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