The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where your data actually lives. Instead of pasting numbers into a chat window, an assistant queries your ledger, your storefront, or your warehouse directly — through a server you control, with permissions you set.
For finance and e-commerce teams, this is the difference between an AI that writes convincingly about your business and one that can answer questions about it. The gap between those two is not model quality. It's access.
The challenges
Most teams reach the same wall about three months into using AI seriously.
- The assistant can't see anything
- It reasons well about what you paste in, and knows nothing about the rest. Every question becomes an export first.
- Context gets stale immediately
- A figure copied on Monday is wrong by Wednesday, and nothing in the conversation says so.
- One integration per tool
- Connect a system to one assistant and you've solved it for that assistant. The next one starts from zero.
- Security is the blocker, not the model
- "Give an AI access to the general ledger" is an easy sentence to say and a hard one to get approved.
- Bespoke connectors rot
- Custom-built API glue works until the vendor changes an endpoint, and then it fails quietly.
How we help
We design and build the server layer — the part that decides what an assistant can see, what it can do, and what gets logged.
- MCP server design
- We map the systems worth exposing and model them as tools and resources an assistant can reason about, rather than raw API surface.
- Authentication and scoping
- Read-only where read-only is right. Per-user permissions that mirror the ones already in your accounting system, not a shared superuser token.
- Tool design
- The difference between a useful server and a frustrating one is which operations you expose. We design for the questions your team actually asks.
- Audit trails
- Every query and every write is logged with who asked and what came back — the thing that makes finance approval possible.
- Deployment and maintenance
- Deployed in your environment, versioned, and monitored, so a vendor's API change surfaces as an alert rather than a wrong answer.
What changes
- Questions get answered where they're asked
- "What did we pay that supplier last quarter?" is answered from the ledger, in the conversation, with the figure.
- One server, every assistant
- Build the connection once. Any MCP-compatible client can use it.
- Access you can defend
- Scoped permissions and a full audit trail, so the security review is a conversation rather than a refusal.
- Answers you can check
- Responses cite the record they came from, so a number can be traced rather than trusted.
A server that exposes everything is easy to build and impossible to approve. Most of the work is deciding what to leave out.
Get started
See what your assistant could actually answer
A 30-minute session where we map the systems worth connecting first and what a scoped MCP server would expose from each.