You will get a production MCP server connecting your API to Claude, Cursor or any LLM

Sihyeong L.Status: Offline
Sihyeong L.

Let a pro handle the details

Buy Generative AI services from Sihyeong, priced and ready to go.
Sihyeong L.Status: Offline
Sihyeong L.

Let a pro handle the details

Buy Generative AI services from Sihyeong, priced and ready to go.

Project details

Your team already has an API, a database, or an internal tool. What you don't have is a way for your LLM tools to actually use it — safely, with real auth, without someone pasting output into a chat window. That is what an MCP server does, and it is what I build.

You get a production server, not a demo: your system exposed as typed tools any MCP-compatible client can call. TypeScript or Python, containerized, secrets handled properly, with a README your team can follow.

Claude Code is my accelerator, which is why this ships in days, not weeks — same senior architecture and testing, just a faster path to working software. I'm US-based in Los Angeles under a California LLC, so contracts and invoicing are simple.

Async-first: written summaries and a short recorded walkthrough at each milestone instead of standing meetings. A call is available if you prefer one — just never mandatory.

Shipped: a production MCP server bridging Reddit's API into Claude, a LAN device-control MCP, and a desktop command deck for Claude Code users.

Right fit if you have an API and want your LLM tools to reach it. If you need a full app built around the model, message me and I'll scope it separately.
AI Algorithms
Large Language Model
AI Applications
AI-Generated Code, Conversational AI
AI Models
GPT-4
What's included
Service Tiers Starter
$499
Standard
$999
Advanced
$2,500
Delivery Time 4 days 7 days 14 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
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Setup File
Source Code

Frequently asked questions

Sihyeong L.Status: Offline

About Sihyeong

Sihyeong L.Status: Offline
MCP Server & Claude API Developer | n8n/Zapier Automation | Next.js
Los Angeles, United States - 6:48 pm local time
I help companies ship Claude and MCP integrations in days, not months.

What I build for clients
- Claude Code SDK pipelines and custom MCP servers (production-grade, observable)
- AI agent workflows with Claude, OpenAI, and Replicate
- RAG systems with pgvector and vector databases
- Next.js with Python or Node backends, Stripe payments, and modern auth
- Multi-marketplace e-commerce automation (Shopify, Cafe24, Amazon, Taobao, AliExpress)

Why hire me

Multi-hat experience. I have shipped a full AI SaaS as Senior Engineer and System Architect, owning frontend, backend, infrastructure, payments, and team workflows. You are not just hiring a coder; you are getting someone who has hired developers, scoped projects, and shipped to real users.

Pre-contract clarity. I read your requirements before we sign. User registration to most devs means a checkbox. To me it means 2FA, accessibility, social SSO, edge cases, and the failure paths nobody documents. I flag the gaps in your spec before they become a dispute.

Recent work
- ItemBox. AI-powered Shopify dropshipping SaaS. NestJS backend with 18 plus API modules, OpenAI and Replicate for product content automation, Stripe subscriptions, multi-marketplace inventory sync, and proxy purchasing infrastructure.

Stack
Frontend: Next.js, React, TypeScript
Backend: NestJS, Node.js, Python, FastAPI
AI: Claude API, MCP, OpenAI, RAG, Replicate, n8n, Make
Data: PostgreSQL, pgvector, MongoDB
Infra: AWS, Vercel, Docker, Cloudflare
Payments and auth: Stripe, Auth0, Clerk

Working style
- Async-first, but I jump on a call within the day for any blocker
- Daily progress update on every contract, so you always know what shipped and what is next
- I pick up new work in days, not weeks

Let's start with a small paid discovery phase to confirm we are a fit. If we are, we can move quickly. If we are not, I will tell you who is.

Steps for completing your project

After purchasing the project, send requirements so Sihyeong can start the project.

Delivery time starts when Sihyeong receives requirements from you.

Sihyeong works on your project following the steps below.

Revisions may occur after the delivery date.

Written scope, within 24 hours

I map your endpoints to a tool surface and send a written plan: which tools, what each one returns, and what is out of scope. You approve it before I write any code.

Build the server

Tools and schemas, auth handling, input validation and error paths. Work lands in a repo you can watch, so progress is visible without status meetings.

Review the work, release payment, and leave feedback to Sihyeong.