I will build a custom mcp server to any ai to your tools


About this gig
AI assistants like Claude, ChatGPT, and Cursor are only as useful as the tools they can reach. I build production-grade MCP (Model Context Protocol) servers that turn your AI from a chat window into a worker reading your data, calling your systems, and completing real tasks.
I'm a senior full-stack engineer (6+ years) who runs MCP servers in production daily. I've built and maintained billing, webhook, and integration infrastructure for a US SaaS platform Shopify, Etsy, WooCommerce, and shipping APIs handling 5000 orders/month. E-commerce and API-heavy stacks are my home turf.
What you get:
- A custom MCP server exposing your APIs and tools to any MCP client (Claude, Claude Code, ChatGPT, Cursor)
- Works with your stack: Shopify, PostgreSQL, Notion, HubSpot, GoHighLevel, n8n, internal APIs
- Secure auth (API keys or OAuth) + cloud deployment (Cloud Run or your infra)
- Clean docs + a handover video
Message me before ordering with what you want your AI to be able to DO I'll confirm scope, price, and timeline within a few hours.
Get to know Somesh P
Senior fullstack engineer I connect AI to real business tools
- FromIndia
- Member sinceJun 2019
- Avg. response time3 hours
- Last delivery5 years
Languages
English
FAQ
What is an MCP server, in plain terms?
A small service that gives AI assistants secure, structured access to your tools — so the AI can read your data and take actions instead of just chatting.
Which AI clients will it work with?
Any MCP-compatible client: Claude (desktop, web, API), ChatGPT, Cursor, Windsurf, and custom agents.
Can you work with a private or internal API?
Yes. Share docs or a Postman collection (NDA is fine). Client code is never reused or shared.
Do you provide hosting?
I deploy to your cloud account (recommended — you keep control). Typical running cost is $0–5/month on Cloud Run. Local-only setups also available.
Can you connect GoHighLevel, n8n, or my CRM?
Yes — anything with an API. GHL, n8n workflows, HubSpot, Notion, Postgres, or fully custom internal tools.

