Toheeb Onifade
Claude Code Expert | AI Agents & MCP Servers | GHL, HubSpot, Shopify, n8n | MCPFlow
Remote • onifadetoheeb068@gmail.com • Upwork profile • Portfolio: 19 production builds
Summary
Claude Code Expert specializing in MCP Server Development, Claude Agent SDK, and production-grade automation for agencies. I rescue broken Zapier/Make/n8n workflows that fail silently and rebuild them with hooks, RLS, audit logs, and Slack alerts. Teams trigger automations by name (e.g., "sync today's patients"), the same workflows engineering runs. Secure by default, multi-agent specialist, no silent failures. 100+ automations running in production.
Core skills
- Claude Code
- MCP Server (Node.js)
- Claude Agent SDK
- Prompt Engineering
- GHL API, Custom Actions, SaaS Mode, Snapshots
- HubSpot Private Apps
- Shopify Admin + Storefront API
- Headless Next.js
- Supabase RLS + PostgreSQL
- Pinecone RAG
- Twilio Voice AI
- Stripe Subscriptions
- n8n Production-Grade Error Handling
Top case studies
MCP Server Development: HubSpot + Shopify + GHL Sync
Problem: No single source of truth. HubSpot forms, Shopify orders, and GHL opportunities were out of sync, costing 11 hrs/week of manual work.
Solution: Built a custom Node.js MCP server with least-privilege keys, Supabase RLS, and audit logs. Claude reads live data from 3 systems and syncs in one step, on its own server with no per-task fees.
Result: 100% sync, 11 hrs/week saved, no data leaves the system for training.
GHL + AI Voice Receptionist: 300+ Calls Handled
Problem: Agency was missing 40% of calls after hours, and the front desk was manually updating GHL.
Solution: Twilio + Claude voice agent + MCP. Inbound calls are qualified, GHL is updated, the calendar is booked, and transcripts go to Slack. Specialist sub-agents: Qualifier, Booker, Follow-up.
Result: 300+ calls handled, 150+ qualified, 70+ booked in 30 days. 100% answered, 67% qualified rate.
Shopify RAG Bot: Flurth Lip Care
Problem: 200 "Where is my order?" tickets a day, a bot hallucinating tracking info, and 1.1% conversion.
Solution: RAG bot grounded in the live Shopify Admin API via MCP + Pinecone, covering live orders, inventory, and shipping.
Result: Support tickets −38%, response time 15m → 45s, conversion 1.1% → 2.8%, AOV +18% from AI upsell.
Real Estate Web Dev + GHL: IDX + Instant Valuation
Problem: Slow WordPress IDX (4.2s), Zillow leads moved to GHL by hand, 15 hrs/week lost.
Solution: Headless Next.js + Supabase + GHL custom actions via MCP. IDX search → Claude qualifies buyer/seller → GHL pipeline → AI nurture.
Result: Speed 4.2s → 0.9s, 15 hrs/week saved, response 12m → 48s, +3 closings/month.
Automation Rescue: Fixing Broken Zapier / Make / n8n
Problem: 47 workflows failing silently on API rate limits, no alerts, leads going cold for 3 days.
Solution: Audited with Claude Code and rebuilt 20 core workflows in n8n + MCP with try/catch, retries, Slack/email alerts, and audit logs.
Result: 0 silent failures in 45 days, alerts in 12 sec instead of 3 days, ops saves 18 hrs/week.
Additional projects
- Dental web app: CareStack API + MCP (12 hrs/week saved)
- Cleaning company NJ: offices and Airbnb property cleaning (bookings +32%)
- SaaS dashboard: Supabase RLS multi-agent (0 leaks, 0.6s)
- E-commerce headless Next.js + Shopify API
- Lead qualification agent, HubSpot + GHL (8m → 22s)
- Multi-agent e-commerce support, sales, and upsell (61% → 89% resolution)
- Stripe + Shopify + GHL subscriptions (churn −22%)
- ClickFunnels → GHL migration
- HubSpot → GHL AI migration ($1,200/mo saved)
- White-label AI SaaS + snapshot (MRR +$4,200, churn 24% → 9%)
Principles & stack
Stack: Claude Code, MCP Servers, Claude Agent SDK, GHL, HubSpot, Shopify, Supabase RLS, Pinecone, Twilio, Stripe, n8n, Next.js, Node.js
Principles: Secure by default • Multi-agent specialists, not a single bot • Hooks sync state • RLS per org/user • No silent failures • Loom + docs handover so your team runs the same workflows as engineering
Share one manual task, and I'll reply with a Loom video plan within 24 hours.