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English
$
USD
I will build mcp server infrastructure to connect your database, apis to ai agents, n8n
Andrew S
About this gig
Super-Smart AI? Cool. Brain-Dead Data Access? Lets Fix It
To be honest, your AI assistant (Claude, Cursor, ChatGPT, or a custom agent) is incredibly smart, but right now, its basically locked in a dark room. It has no idea what your live PostgreSQL database looks like, it cant read your internal APIs, & it definitely cant update your private company workspace.
Brittle, one-off API wrappers are dead. The future is Model Context Protocol (MCP)the universal bridge that securely connects your AI models to your real-world data infrastructure.
I also build custom RAG systems, optimize automated pipelines using n8n workflows, deploy localized agents via Ollama, & integrate secure data layers using Supabase or GitHub repositories.
What I offer:
- MCP server
- Fastmcp
- Claude ai
- Cursor mcp
- Claude mcp
- AI agent
- Docker
- Anthropic
- Windsurf ai
- Supabase ai
- Claude code
- llm tool calling
- Api integration
- Claude desktop tools
- Postgres ai integration
- n8n agent workflow
- Custom api wrapper
- Connect database to ai
Think Your Data Is Too Messy For AI To Understand?
Lets find out. Drop me a message right now with your current database or API stack. Ill tell you exactly how we can bridge it to your AI client
Get to know Andrew S
Andrew S
FULL STACK DEVELOPER REACT, SUPABASE, STRIPE, MCP AI
- FromUnited Kingdom
- Member sinceDec 2024
- Avg. response time1 hour
Languages
English, French, Spanish, German
Full-stack developer with 3+ years in tech, delivering production-ready SaaS apps and AI-powered tools. I take Lovable, Bolt, Replit, and Base44 prototypes to production: deploying on Vercel/Netlify, migrating backends to Supabase, and securing payment flows with Stripe, PayPal, and Klarna. My stack spans React, Next.js, TypeScript, Laravel, and Node.js, with REST APIs, auth, webhooks, and CI/CD built for scale. I also build MCP servers connecting AI agents to databases and APIs, and design Shopify stores that convert. 30+ projects delivered, clean architecture, no hand-holding.
FAQ
What exactly do I get when you deliver the project?
You will receive a clean, compressed deployment folder containing the core MCP server code (Python or TypeScript), a secure .env.example template for your passwords, and the exact JSON snippet you need to paste into your AI client configuration (like Claude Desktop or Cursor).
Will you have access to my private company data or passwords?
Absolutely not. I build the server structure using placeholders. When I deliver it, you will type your private database strings and API keys into your own local environment file. Your data stays 100% private.
What platforms are these MCP servers compatible with?
They work with any system supporting the open-source Model Context Protocol standard, including Anthropic's Claude Desktop, Cursor, Windsurf, and custom-built n8n AI agent workflows.
Can you connect my MCP server to a custom internal API?
Yes! As long as you can provide the API endpoint documentation or describe how it functions, I can wrap it into custom executable tools for your AI assistant.
Can you help me move past the "vibe coding" phase and fix my generated app code?
Yes, absolutely! "Vibe coding" with tools like Lovable, Bolt, or Claude Engineer is amazing for building fast prototypes, but the resulting code is often messy. I step in to fix broken scripts, restructure your architecture, & build robust MCP servers so your app can scale cleanly in production.
Do you build custom RAG pipelines or connect to local LLM setups like Ollama?
Yes. I can design secure RAG (Retrieval-Augmented Generation) infrastructure that securely feeds your company data warehouses into your models. I also configure local deployments using Ollama or custom Docker setups if you prefer to run your open-source models completely locally.
Can you build an MCP server that integrates directly into an n8n workflow or a Telegram bot?
Definitely. I regularly map out advanced n8n workflow automations, n8n AI agent networks, and Telegram bot backends. By wrapping your custom data layers into an MCP server, your automation nodes can call your business tools natively without breaking.
What is your experience with alternative open protocols like OpenClaw or Claude Code?
I stay on the absolute cutting edge of agentic AI. Beyond standard Anthropic MCP, I build and customize environments using OpenClaw, Clawdbot, and the latest Claude Code CLI tools. No matter which protocol your system uses to execute tool calling, I can bridge it securely.
Where should I host my custom MCP server once it is finished?
It depends on your security needs. For internal testing, running it locally via Docker or on a local Mac Mini works perfectly. For production-grade teams or complex CRM integrations, I can help you deploy the server to a self-hosted VPS server, Microsoft Azure, or a secure cloud dashboard.
