I design, build, and deploy MCP servers — the secure bridges that let AI read and act inside the systems your business already runs. This page is for owners and operators who want one built. Mine run in production today, used daily by internal teams. Every build starts with the $4,500 operations audit, so the ROI case is on paper before I write a line of code.
Not sure what an MCP server is yet? Start with the business owner's guide →
Charlotte, NC + remote · Your infrastructure · You own the code
An MCP server is built once per system — one for the CRM, one for inventory, one for the books. Each build covers four things, and skips none of them.
Not every system pays for one. We rank yours — CRM, ERP, inventory, accounting — by what an agent could actually do there, and build where the return is.
Per system, we decide what the AI can read, what it can write, and what's off-limits — with logging where it matters. This is where I spend the time.
Your cloud, your accounts, your keys. Nothing routes through mine, and nothing depends on me staying in the picture.
Code, docs, and training for the team that runs it. You own all of it. Support is available — never mandatory.
For a mid-market reverse logistics-tech company, I built the MCP server and agent tooling their internal teams use every day — Python on Google Cloud, wired into live inventory and truckload workflows, supporting 50+ internal users.
MCP is young enough that a lot of what's for sale is demo work. Production is a different job: real permissions, real data, and internal users who notice by 9 a.m. when something breaks. That's the standard your server gets built to.
Wiring an AI into a CRM takes days. Deciding what it should be allowed to do there is the real work. The server is the gatekeeper — you decide per system what the AI can read, what it can write, and what's off-limits, and every action can be logged. Get that design wrong and you've handed a very fast intern the keys to every room.
One caution from the field: off-the-shelf MCP servers deserve the same scrutiny as any software you'd install. The ones I build run on your infrastructure, under your permissions — shaped to exactly what you allow, and nothing else.
The operations audit maps your systems and finds where a server pays. The fee is credited toward your first build — and if it doesn't surface savings worth more than its cost, you don't pay.
Which systems, which permissions, what the agents will do with them — and what done looks like, before a line of code gets written.
A focused server is usually days to weeks of work, not months — typically part of a fixed-scope build sprint from $45,000, built alongside the agents that use it.
Deployed on your infrastructure, documented, your team trained. If you want the builder to stay on, that's the fractional AI partner — an option, not a requirement.
A focused server for one system is usually days to weeks of work, not months. It's typically part of a build sprint (fixed scope, from $45,000) that includes the agents that use it — and every engagement starts with the $4,500 operations audit, which tells you whether it's worth building at all.
Anything with an API or a database — CRM, ERP, accounting, inventory, even the spreadsheet workflows. The server wraps what you already run; nothing gets ripped out or replaced.
You do — you own the code, the infrastructure, and the documentation, and your team gets trained to run it. If you'd rather have the builder stay on to maintain and harden it, that's what a fractional engagement is for. It's an option, not a dependency.
Yes. MCP is an open standard — created by Anthropic, released in November 2024, and donated to the Agentic AI Foundation, a Linux Foundation fund, in December 2025. Claude, ChatGPT, Gemini, and Microsoft Copilot all support it natively, so the server you build works with any of them and keeps working when you switch.
Scrutiny and fit. Off-the-shelf MCP servers deserve the same scrutiny as any software you'd install — you're trusting someone else's decisions about what your AI can touch. A built server runs on your infrastructure, under permissions you set per system, with every action loggable. For systems that touch money or customer data, that difference is the job.
That's what the audit is for: one week, $4,500, and you get the map — where an MCP server pays off in your operation, what the build costs, and what it returns. The fee is credited toward your first build. If it doesn't surface savings worth more than its cost, you don't pay.