Connect Your AI Tools to the Systems That Actually Run Your Business.
A MCP server is the bridge between an AI assistant and one of your business systems. There are three kinds: native servers from the platform vendor, public servers from the community, and custom servers built for your environment. We help you choose the right one for each connection, then we deploy it, secure it, and run it.
- Honest advice on which type of MCP server fits each connection.
- Identity-aware access and audit logs across native, public, and custom servers.
- The same managed-services model UOTech.co built for IT, applied to AI.
A Secure Connector, Not Another AI Tool.
Model Context Protocol, or MCP, is the open standard that lets modern AI assistants talk to real systems. By 2026 every serious AI platform speaks it: Claude, ChatGPT, Copilot, Gemini, and the internal assistants companies build for themselves.
A MCP server is a small piece of software that sits next to one of your systems, say QuickBooks, HubSpot, your SharePoint, your scheduling platform, or a line-of-business app you built in-house, and exposes that system to an AI assistant in a controlled way. Your AI can read what you allow, write what you allow, and nothing else.
It is the difference between an AI tool that can chat about your business and an AI tool that can actually look up an invoice, draft a client update, file a ticket, or pull a report from your numbers.
Not Every MCP Server Should Be Custom. We Help You Decide.
The MCP ecosystem spans three kinds of servers, each with a real place. Native servers published by the platform vendor (Microsoft, Google, HubSpot, Atlassian, GitHub, and many more), public servers from the community, and custom servers built for your specific environment.
The right choice is not the same for every connection. A native vendor MCP is often the cleanest answer when one exists and your governance allows. A vetted public server can be the right call when it is well maintained, transparent, and a good fit. A custom build is the answer when the application is yours, the data is regulated, or no off-the-shelf option meets the requirements. Once we pick the path, the operating model is the same across all three: monitoring, logging, audit trail, and on-call support.
Where most businesses get into trouble is making this call without help, plugging in the first marketplace connector that fits, and discovering six months later what it logged or where it sent your data.
- Native first, when it fits. When the platform vendor ships a trusted first-party MCP that meets your scopes and policies, we use it and configure it correctly. No reinventing the wheel.
- Public, but vetted. When a community-built server is the right tool, we review the code, pin the version, sandbox it inside your environment, and treat it as a supported part of the stack.
- Custom, when justified. When no off-the-shelf option fits, we build the server inside your environment with the audit log, action allowlist, and approval gates your compliance team requires.
Common MCP Servers Our Clients Run.
We start with the systems where AI saves the most time first. For each one we evaluate the native vendor option, vetted public servers, and a custom build, then run whichever fits. Our clients span healthcare, legal, finance, manufacturing, accounting, real estate, hospitality, nonprofits, and professional services.
Microsoft 365
Outlook, Teams, SharePoint, OneDrive, and the calendar. Drafting, search, scheduling, summaries, all inside the tenant.
- Draft email and send on behalf of users
- SharePoint and Teams search with permission boundaries
- Calendar lookup, scheduling, conflict checks
Accounting Systems
QuickBooks, Sage, NetSuite, Xero, Dynamics. Read access to the numbers, approval-gated write access to the rest.
- AR/AP aging summaries on demand
- Drafted invoices and estimates queued for approval
- Anomaly detection and cash-flow questions
CRM
HubSpot, Salesforce, Zoho, Pipedrive. Your AI assistant comes pre-loaded with deal context, ready to draft and log.
- Deal, contact, and pipeline lookup
- Drafted follow-ups grounded in real notes
- Activity logging with full audit trail
File Storage
SharePoint, Drive, Dropbox, Box, on-prem. Find the right file, summarize the long ones, answer from your approved sources.
- Search across permitted documents only
- Summarize contracts, policies, intake packets
- Answer policy questions with citations
Line-of-Business Apps
The custom or niche app no off-the-shelf AI knows about. We teach your AI assistant how to read it and write to it carefully.
- Connect AI to internal or legacy applications
- Expose only the actions you approve
- Versioned, tested, reversible
Industry-Specific Tools
Practice management, EHR, case management, ERP, property management, POS. The vertical platforms your business actually runs on.
- Vertical integrations vetted for your compliance posture
- HIPAA, SOC 2, PCI guardrails baked in
- Documented and supported the way UOTech.co manages your IT
Four Steps. Same Managed Practice.
- 01
Step 1 — Discovery
We learn which systems matter most, which workflows lose time today, and which data is sensitive enough that it cannot leave your environment.
- 02
Step 2 — Design
We map the MCP server design to your stack: what tools the AI can call, what data it can see, what actions need human approval, and how everything gets logged.
- 03
Step 3 — Build
We develop the server inside your environment, wire it into the AI tools your team uses, and test it thoroughly before anything connects to production.
- 04
Step 4 — Manage
We monitor performance, apply updates as the protocol evolves, tune the access rules as your business changes, and stay on call.
Built for Businesses That Cannot Afford a Data Mistake.
Every MCP server we build ships with the controls auditors and risk managers ask about. If your business is in a regulated industry, this is the difference between an AI program your compliance officer signs off on and one they shut down.
- Identity-aware access. The AI assistant acts as the signed-in user, with that user's existing permissions, not as a god account.
- Action allowlists. You decide which operations are read-only, which require approval, and which are blocked outright.
- Full audit logs. Every query and every action recorded, exportable to your SIEM or compliance platform.
- Sensitive-data handling. Redaction, tokenization, and field-level rules for regulated data, including HIPAA, attorney-client, and financial.
Built for Teams of 5 to 500.
Most of our clients are professional services and operations-heavy businesses where AI has a real role to play, but where a public AI tool with full access to company data is a non-starter. If you fall into one of these patterns, we can probably help:
- You have already started using AI tools and now your team wants to connect them to real systems.
- You have one or two business platforms that hold most of your operational data, and you want your AI to actually use them.
- You operate under HIPAA, SOC 2, attorney-client privilege, or another framework that limits where your data can go.
- You have a custom or vertical-specific application that no off-the-shelf AI assistant understands.
- You want one team that builds the integration, runs it, secures it, and updates it as the standards evolve.
Ready to Connect Your AI Tools
to the Systems That Matter?
Tell us which systems your team uses every day and what you wish your AI assistant could do inside them. We will tell you which connections to tackle first, whether each needs a native, public, or custom MCP server, what the guardrails should look like, and what it will cost.
- No sales script. A real conversation with someone who has been inside businesses like yours.
- A 30 minute call, an honest read on where AI fits and where it does not.
- Straight pricing. No surprise invoices.
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