Validate your AI concept in just 5 days — without hiring a full dev team
The MCP Prototype Builder is a rapid development service tailored for solo founders and pre-seed startups looking to validate or showcase an AI-based product concept. Built around the Model Context Protocol (MCP) — a lightweight, modular architecture for building LLM-integrated systems — this service helps you go from idea to functional prototype in just one week.
Model Context Protocol (MCP) is a powerful, structured approach to orchestrating context-aware interactions between large language models (LLMs) and external tools, data, and user inputs. Instead of coding everything from scratch, MCP provides a framework that streamlines the connection between your frontend, backend tools, and AI capabilities.
Think of MCP as the “API contract” between your product’s logic and the AI model. It defines how tools are registered, how context flows into the LLM, and how outputs can trigger further actions. This structure allows for modular, testable, and scalable AI integration — ideal for prototypes, MVPs, and future product evolution.
In just 5 business days, we deliver a fully operational AI prototype you can use to pitch investors, validate user interest, or test product-market fit. Here’s what’s included:
We set up a local server or CLI interface using the MCP framework that includes:
1–2 tool endpoints (e.g., a data scraper, calculator, or knowledge retrieval API)
Structured prompt context formatting for reliable LLM interaction
Secure, modular design for easy expansion
This core backend acts as the “brain” of your AI app — driven by the LLM but empowered by useful tools.
Using Claude or GPT-4-turbo as the AI engine, we build a mock frontend to simulate the user experience:
Chat or prompt-based interface
Preloaded scenarios to demonstrate capabilities
Clean, mobile-friendly UI (can be HTML, React, or Figma mockup)
It’s designed to impress investors and help non-technical stakeholders understand your vision.
We provide simple, clear docs explaining:
How the prototype works
What problem it solves
How MCP makes it scalable
Next steps for development or fundraising
You’ll get both a technical README and a slide-ready summary for use in decks or demos.
This sprint is perfect for:
Solo founders with a strong idea but no tech team
Pre-seed startups prepping for pitch meetings
Accelerator applicants needing to show traction
Anyone who wants to validate an AI MVP before spending big
Flat Fee: $1,200
Turnaround: 5 business days
Includes: Local prototype, frontend mockup, docs, and code handoff
You’ll walk away with a working prototype, ready to impress investors, test with users, or kick off development.
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