Development of an MVP application for ChatGPT using MCP and Apps SDK

Do you feel that there are limitations of the ChatGPT core for creating multi-component journeys? I specialize in integrating third-party APIs, such as TravelCompositor, to overcome such challenges. It is important not only to develop a stable MVP but also to implement fallback mechanisms to save partial results. With my experience in building SaaS systems and DevOps infrastructure, your platform will function flawlessly in ChatGPT's Dev Mode. I am ready to discuss your ideas in more detail and turn them into reality.

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Hi Snezhana,
I can build this MVP - native ChatGPT assistant with MCP tools + Apps SDK interface.
What I'd deliver:
4 MCP Tools:

plan_itinerary - NLP to structured itinerary
price_bundle - TravelCompositor integration with caching/retries/timeouts
refine_options - Partial updates without full recalc
hold/checkout - Soft-hold + payment flow prep
…
Apps SDK UI:

Inline cards: itinerary/price summaries, flight/hotel cards, action buttons
Fullscreen forms: multi-city builder, passenger data, checkout
Error states with partial results + alternatives

Integration:

TravelCompositor API normalization
Auth setup, price retrieval, hold flow
Fallback logic for unstable endpoints
Exponential backoff, TTL caching

Tech stack: TypeScript, proper error boundaries, state management for multi-option comparison
Question: Do you have TravelCompositor API docs/sandbox access ready, or will that come after selection?
15 projects completed, 10/10 rating. Top 50 Python dev but comfortable with TS/JS ecosystem.
Price: $2,800
Timeline: 25-28 days
Can start with architecture doc before coding.
Best,
Revaz

Hello!

Your idea of a travel planning assistant fits perfectly into the systems I am creating, where communication, tools, and real prices work together without causing inconvenience to the user. I am used to connecting internal processes to chat-style interfaces, including tool invocation, retries, caching, and proper rollbacks, so everything works even with a slow or unstable external API.

One feature I can add to this MVP is a kind of timeline sandbox within ChatGPT, where the user can save multiple options for the same trip and switch between them with a single touch. For example, weekends versus a full week or different hub cities, each with its own cached pricing package and net amount displayed as embedded cards. This allows the model to compare and explain trade-offs in simple language, while the tools simply reuse and update data in the background. This makes planning engaging yet very accurate.

I can develop MCP tools for route planning, pricing, refinement, and flow retention, and then connect them to TravelCompositor with the right normalization, timeouts, and partial result processing. The Apps SDK component will display understandable cards for flights, hotels, and total costs, as well as full-screen forms for multi-city builders and passenger information. I have paid special attention to making complex flows simple and understandable for users while maintaining the ability to scale the codebase.

If this sounds like what you have in mind, I can provide a clear structure of tools and user interface states before writing code, so we both see the entire process from start to finish.
…
Thank you!

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Hello.
I have experience and a desire to work.
I will complete it within the agreed deadlines.

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Hello!
Your project is one of the most interesting in the field of native solutions for ChatGPT. I have experience in developing MCP tools, working with Apps SDK (inline cards and fullscreen forms), as well as integrating with complex third-party APIs, where critical caching, retries, timeouts, and stable fallbacks are essential.

I am ready to fully take on the implementation of the MVP for your assistant in building and calculating multi-city travel packages.

🔧 My relevant experience
✔ MCP tools
creating structured JSON schemas
normalizing natural language
… implementing call-flow with caching, retries, timeout handling
fallback logic for partial or missing data
✔ Apps SDK (UI)
creating inline cards with buttons (Refine / Hold / Checkout)
developing fullscreen forms (routes, passengers, payment)
managing states, validation, updating partial data
native error handling and alternative suggestions
✔ API integrations (Travel / Booking)
working with unstable and slow endpoints
parallel requests + speed optimization
normalizing responses to ChatGPT format
implementing pre-booking (soft-hold) + data transfer for payment (Stripe, etc.)
implementing logic for hotels, flights, transfers
📌 Work scope estimation (MVP)

⏱ Estimated timeline
3–4 weeks
Distribution:
1–1.5 weeks — MCP tools (4 tools)
1 week — Apps SDK UI (inline cards + forms)
3–5 days — integration with TravelCompositor OUT-API
2–3 days — implementation of hold / checkout
stabilization, handling edge cases, testing in ChatGPT Dev Mode

💰 Cost
For the complete MVP:
$1800 – $2400 (fixed price for the project)
or
$25–35/hour (if hourly model)
The cost includes:
full MCP logic
Apps SDK UX/UI
API integration and data normalization
speed optimization, caches, retries
testing and documentation
support for launch in ChatGPT Dev Mode

🔥 Why I am suitable
I understand the specifics of travel routes, multi-city combinations, and pricing
I have worked with systems where partial results and fallback logic are important
I have practical experience in creating native ChatGPT assistants
I guarantee a transparent process, quick feedback, and adherence to deadlines

📩 Ready to start working
I can start within 1–2 days after agreeing on the details and gaining access to the TravelCompositor API.
I would be happy to join your project — it truly has the potential to become one of the best travel applications in ChatGPT.

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…
I would be happy to schedule a short online meeting during which we will discuss the details, and I will present the technical possibilities and the best solutions for your project.

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Hello Snezhana,
My approach will be to architect a system where the MCP server acts as a reliable, intelligent middleware—handling logic, caching, and fallbacks—while the App SDK provides a polished, intuitive interface for the user within ChatGPT.
Kindly inbox me, I take you through my implementation plan, and agree on the way forward. I'm ready to begin working on this as soon as I get the go-ahead.

Hello!

I am ready to implement an MVP assistant for travel planning in ChatGPT with full use of MCP (tool-calling) and Apps SDK. I am working with the TravelCompositor API and know how to create a fast, stable, and native experience: from natural language parsing to inline cards, fullscreen forms, and soft-hold.

I will provide:
- 4 MCP tools (plan_itinerary, price_bundle, refine_options, hold/checkout) with caching, retries, and smart fallbacks,
- Apps SDK — summary cards for routes/prices, Refine/Hold/Checkout buttons,
- fullscreen builder and passenger forms,
- normalization of TravelCompositor responses for ChatGPT,
… - resilience to timeouts, partial results, and alternative offers,
- clean code with complete documentation for Dev Mode.

I will send the cost estimate and deadlines in private correspondence. Please write in private messages to discuss the details.

Best regards, Mykola

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Hi,
I can build your assistant in a few days.
I just need only openai api key.

Best,
Jeo

Hello,

Thank you for the detailed description, I would be happy to help with the implementation of the project. I am a Software Development Engineer with over 7 years of experience in creating various websites, SaaS solutions, complex web platforms, and MVPs for startups. In my portfolio, I have highlighted some of the developed projects.

My stack includes the following technologies and their frameworks: PHP (Yii2, Laravel, Symfony), HTML5, CSS3, JS (Vue.js, React.js), MySQL, PostgreSQL.

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