Holds a Master of Science degree in Software Engineering from Wrocław University of Science and Technology (Poland), and a Master of Engineering degree in Industrial Project Management from École des Mines de Saint-Étienne (France). His professional experience includes investment banking trading systems integration (Calypso for HSBC in London, UK and LBBW in Stuttgart, Germany), telecommunications (Cegetel, Completel and Noos in Paris, France), transport (Voyages-SNCF.com in Paris, France). Ireneusz is a full stack engineer with deep expertise in HTML, CSS, JavaScript/TypeScript, Python, Java, C++, and Databases.
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Your product inside every AI conversation.
Get discovered the moment users need you — not after they’ve already left.
AI assistants are becoming the new front door for commerce, support, and decisions. MCP Apps puts your product directly inside that conversation — so when a user asks an AI to find, book, buy, or manage something, your service is the one that gets called. We build and publish MCP integrations for businesses that want to be where their customers already are.
Be present at the moment of intent
When a user asks an AI assistant to complete a task, your app is surfaced automatically — no redirect, no new tab, no drop-off. We optimize your app’s capability metadata and task descriptions so it gets matched to the right user at the right moment across ChatGPT, Claude, and any MCP Apps-compliant client.
Go beyond search — let users act
Your integration can do more than return results. Surface live inventory, trigger orders, schedule appointments, update records, or process payments — all from within the conversation. We handle the structured responses, interactive forms, and callable actions that make this possible.
One build, every platform
MCP Apps follow the SEP-1865 open standard. We design your integration once, and it runs across every compliant client. No rebuilding for each platform.
Launch fast, grow over time
We recommend starting with a single high-value capability and expanding from there. This keeps initial cost and risk low, and gives you real usage data to guide what to build next.
Full-service delivery
We handle the entire build: technical integration, submission to platform registries, review responses, authentication flows (OAuth 2.0, JWT, SSO), compliance design, and post-launch telemetry. You get a working, listed app — not a handoff mid-process.
Ready to get started?
Book a free introductory call or send us a message. We’ll learn what your product does, identify the highest-value integration point, and tell you what a realistic build looks like. No commitment required.
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Frequently Asked Questions
What can an MCP app actually do?
It can surface live data, perform actions on behalf of users (create orders, schedule meetings, update records), and present interactive UI elements like forms, tables, and multi-choice prompts — all inside a conversation, without the user leaving the chat client.
How do users find the app?
Through platform and assistant recommendations when user intent matches your app’s capabilities, search within platform catalogs, and direct links you share. We optimize your app’s name, description, and capability metadata to maximize discovery across all target clients.
Will it work across all AI platforms?
Any client that implements SEP-1865 can use your app. Current examples include ChatGPT and Claude. You choose whether to publish publicly to registries, list in specific client marketplaces, or distribute privately.
Can it handle purchases and payments?
Yes, subject to your backend capabilities and any platform or regulatory requirements. Payment flows add compliance and integration complexity (billing, receipts, fraud controls), which we design for during discovery.
What authentication approaches do you use?
OAuth 2.0 for user-level access, JWT for server-to-server interactions, and SSO for enterprise customers. We build token refresh, rotation, and minimal-privilege scoping to keep things secure and aligned with the standard.
How do you handle data privacy and compliance?
We minimize sensitive data exposure in transit, use encryption at rest and in flight, implement role-based access controls, and document retention and logging. For regulated industries (HIPAA, GDPR, etc.), we add appropriate architectural and contractual safeguards.
How long does a build take?
Simple read-only integrations often ship in a few weeks. More complex apps — multiple system integrations, transactional flows, custom UI — typically take 1–3 months. We give a precise timeline after discovery.
Do you need access to our systems?
Yes. We require secure, scoped API access for live data and actions. We follow least-privilege practices and can work with staging environments first.
What stack do you build in?
Node.js or Python, using available MCP Apps SDKs or lightweight custom implementations where needed, with UI component mappings for clients that support interactive payloads.
Who owns the code?
You do, by default. We can deliver code you host yourself, or provide managed hosting as a service. IP, licensing, and reuse rights are defined clearly in every proposal.
How do you measure results?
We instrument installs, active usage, task completion rates, error rates, and conversion metrics tied to the actions your app performs. We can deliver an analytics dashboard or pipe events into your existing tools.
What support is available after launch?
Optional maintenance packages cover incident response, bug fixes, SDK and protocol updates, and prompt tuning. SLAs are defined in the contract.
Pricing
Why no fixed prices listed here?
Because “MCP integration” can mean a simple product lookup or a multi-step transactional system — and those are completely different projects. Listing a price range that covers both would be misleading. We price accurately, which means we need to understand your requirements first.
What drives cost?
The main factors are the number of external systems to connect, whether the app is read-only or action-based (transactions require more validation, security, and testing), authentication complexity, compliance requirements, and post-launch support needs. We identify which apply during discovery and reflect them in a clear, itemized proposal.
How do we get a price?
Book a free introductory call. If we’re a fit, we proceed to a paid discovery engagement (typically 1–2 weeks), which produces a detailed technical proposal with architecture, scope, timeline, and fixed or milestone-based pricing.
Can our team reduce the cost?
Yes. If you provide documented APIs, test environments, or frontend assets, we can reduce integration time and overall cost meaningfully.
What if requirements change?
We handle scope changes through a documented change-request process. Cost and timeline impact are explained and approved before any additional work begins — no surprises.
Are there ongoing costs to plan for?
Yes — typically hosting, monitoring, SDK updates, and support. We estimate these during discovery and can bundle them into a monthly maintenance plan.
About
Expertise runs in the family – we are a husband-and-wife team of Master Engineers. After years of building mission-critical integrations for global corporations, we have traded the boardroom for a home in the tropics on the Caribbean coast. From here, we bridge the gap between high-level academic expertise and the boutique, high-trust feel of a family business. We are Ireneusz and Aleksandra: partners in life, experts in systems. In a world of faceless AI startups, we offer a level of accountability and synergy that’s hard to replicate.
Holds a Master of Science degree in Software Engineering from Silesian University of Science and Technology (Poland). Her professional experience includes system integration for global financial institutions (Goldman Sachs and BGC Partners, London, UK), payment systems (GIE Cartes Bancaires, Paris, France), retail industry (Mousquetaires - Intermarche Group, France), and automotive manufacturing (General Motors, Gliwice, Poland). Aleksandra is a full stack engineer with deep expertise in HTML, CSS, JavaScript/TypeScript, Python, Java, and Databases.