Hands, Safely
Custom Model Context Protocol servers that let AI assistants work with your systems.
The Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude and ChatGPT connect securely to real systems: your database, CRM, calendar or inventory. We build custom MCP servers that turn an AI that chats into an AI that can look things up and get things done inside your business.
What’s included
Custom MCP Servers
Purpose-built connectors that expose your databases, CRMs, internal tools and files to AI assistants through the MCP standard, limited to exactly what the AI should reach.
Safe Tool Design
Read-only where that's enough, approval steps on anything consequential, and authentication and audit logs throughout.
Workflow Integration
MCP servers designed around the questions your team actually asks and the tasks worth delegating, so the AI is useful day to day.
Why MCP Matters Now
Without MCP, an AI assistant only knows what you paste into it. With it, the assistant can check your inventory, pull a customer's history, look at the schedule and draft the quote, using live data in one conversation. MCP replaced one-off integrations for each AI tool, and the major AI platforms support it, which makes it a sound layer to build on.
For a business, a custom MCP server means the AI tools you've already approved can work with your data instead of alongside it.
What an MCP Server Can Do for Your Team
Sales staff can ask for a customer's full history and open quotes before a call. Office staff can ask which jobs are scheduled next week and which are missing materials. Owners can ask for this month's revenue by service line without opening a report. With approval steps in place, the assistant can also create records, draft and send follow-ups, or update a job status.
Each of these is a tool we define on the server, with a clear description, limited permissions and a log entry every time it's used.
How We Build an MCP Server
We start by listing the questions and tasks your team would hand to an assistant, then decide which systems and data each one needs. Every tool gets the narrowest access that works: read-only by default, with write actions behind a confirmation step. Then we build, connect authentication so each person's access matches their role, and test with the assistants your team uses.
The build is priced like our other custom software: a fixed quote per stage, agreed before work starts, and you own the code.
MCP Security in Practice
Connecting an AI assistant to business systems creates a new way in, so we design the server the way we'd design any access point. Each person signs in with their own account, and the server only offers them the tools and data their role allows. Tools are read-only by default. Anything that creates, changes or sends something asks for confirmation before it happens.
We also guard against the AI being misled by the content it reads, such as an email or document containing instructions. Tools validate their inputs, refuse actions outside their scope, and never expose raw credentials. Every call is logged with who asked, what was requested and what happened, so any action can be traced after the fact.
Built by People Who Use It Daily
We use AI tools every working day, and MCP servers are part of our own setup. That experience shows in the details: which tools an assistant actually reaches for, how to write tool descriptions models understand, where approval gates belong, and how to log everything for review.
Frequently asked questions
What is MCP (Model Context Protocol)?
MCP is an open standard that lets AI assistants connect securely to external systems such as databases, applications, files and APIs through a common interface. Instead of a custom integration for each AI tool and each system, one MCP server makes your system available to any MCP-compatible assistant, including Claude and ChatGPT.
What would an MCP server let AI do for our business?
Whatever you scope it to: answer questions from live data ('what's the status of the Henderson order?'), look up customer history during a call, check inventory and schedules, draft documents from your records, or, with approval steps, create records and send updates.
Is it safe to connect AI to our business systems?
It is when it's engineered carefully. Our servers expose only the data and actions you approve: read-only access where that's enough, human confirmation on consequential actions, per-user authentication and complete audit logs.
Do we need custom software before getting an MCP server?
No. MCP servers can sit in front of what you already run: existing databases, common CRMs, spreadsheets and accounting platforms. If a system holds data your team keeps looking up or pasting into AI tools, it's a good candidate.
Which AI assistants work with MCP?
Claude supports MCP directly, and ChatGPT and a growing list of other assistants and developer tools support it too. Because MCP is an open standard, one server can serve several assistants.
How much does an MCP server cost?
It depends on how many systems it connects to and how many tools it exposes. We quote a fixed price per stage after mapping the questions and tasks your team wants to hand off.
Why hire Ripple Strategies for MCP development?
Because it takes production software engineering plus daily hands-on AI experience. We build MCP servers as real infrastructure (authenticated, logged and maintained) and use MCP in our own work, so design decisions come from practice.