MCP Server Engineering (Contract-First GPT Tool Design)
A qualified GPT SDK developer should know how to design well-typed, schema-based tools that the AI model can reliably call. This includes input validation, error handling, and least-privilege access to APIs and databases — the foundation of any Custom ChatGPT App.
ChatGPT-Native UX & Conversational Interface Design
Modern GPT SDK applications blend chat with interactive UI components like lists, forms, maps, and data previews. Look for developers who understand Apps SDK UX guidelines and can create mobile-ready conversational experiences.
AI Security, Privacy & Compliance for OpenAI SDK Apps
Your GPT integration partner must be able to implement permission prompts, consent flows, and write-action confirmations, while ensuring alignment with OpenAI App Developer Guidelines.
Testing & Observability with Developer Mode and MCP Inspector
GPT-powered apps require continuous validation. Your engineer should leverage schema regression testing, discovery precision testing, and observability tools to ensure reliability.
Protocol Awareness: MCP & ACP (Agentic Commerce Protocol)
For AI sales automation and conversational checkout experiences, experience with ACP provides a major edge in conversational commerce GPT builds.
Key Roles for a Successful GPT SDK Project
- Apps SDK Engineer (MCP + UI) — Leads tool contract design and in-chat interaction flows.
- Backend / API Engineer — Handles authentication, data access, and latency optimization.
- AI Security & Privacy Specialist — Maps scopes and user consent to platform requirements.
- QA & Automation Tester — Maintains golden prompts and regression testing for reliability.
- Product / UX Lead — Ensures clear use-case focus and GPT-native experience design.
How to Evaluate a GPT SDK Development Partner (RFP Criteria)
Tool Schema Design Experience
Request sample JSON schemas showing how they structure tool permissions, write actions, and safety confirmations.
Discovery & Tool Selection Strategy
Ask how they prevent false tool calls — strong providers use Developer Mode golden prompts and negative testing.
Security-by-Design Approach
Expect least-privilege access, auditable actions, and privacy policy familiarity.
App Store & Submission Readiness
Choose someone who understands OpenAI’s preview rollout, submission timing, and monetization options.
Conversational Commerce & ACP Capability (Optional)
If you plan to enable instant checkout via chat, look for ACP experience.
Standard GPT SDK Development Roadmap (No Pricing Included)
- Week 1 — AI Strategy, Use Case Scoping & Schema Planning
- Weeks 2–3 — MCP Server Build, Integrations & In-Chat UX
- Week 4 — Security Hardening, Regression Testing & App Review Prep
(Timeline may shift depending on OpenAI’s submission window and feature preview releases.)
Red Flags When Selecting an AI App Agency
- No mention of MCP Inspector or Developer Mode in their workflow
- Vague about permissions or write-action confirmations
- Misrepresents availability on Enterprise ChatGPT (Apps SDK is still rolling out)
- Promises instant EU distribution despite staged rollout
Procurement-Ready SOW Structure
- AI Use Case Discovery & KPI Alignment
- Contract-First MCP Tool Design
- Secure GPT SDK Integration & Authentication
- ChatGPT-Native UX & Component Implementation
- Testing & Observability
- Security & Compliance Mapping
- Launch & Submission Preparation
Why Choose Our GPT SDK Development Agency
We specialize exclusively in Custom ChatGPT App Development, GPT SDK Integration, and AI Sales Automation Systems. Our team follows OpenAI’s Plan → Build → Test framework to deliver scalable, compliant, and review-ready AI applications.