Solutions
MCP Server Development & Integration
An MCP server exposes your product's data and actions to AI agents through a safe, structured interface, so an agent can actually do things in your system instead of only talking about them. We build these on NestJS, the same backend stack behind our production AI work.
Why agents need more than an API key
Most products already have an API. The problem is that handing an AI agent full API access is either too permissive — it can do anything your API allows — or requires custom integration work for every new agent that wants to connect. MCP servers solve this by giving agents a structured, scoped interface built specifically for AI use: clear actions, clear data boundaries, and a standard any MCP-compatible agent can speak.
Built on proven infrastructure
Our MCP server work runs on NestJS, the same backend framework behind the AI integrations on the OnSense AI platform — a production system handling AI agents across web dashboards and a mobile app. That's the bar for what “production-ready” means here: not a demo endpoint, but infrastructure built to the same standard as the rest of your backend.
A sample timeline by plan
40 hrs / month
An MCP server exposing a focused set of actions or data — enough for an agent to complete one real workflow.
80 hrs / month
A broader MCP server covering multiple parts of your product, with the access control to scope what each agent can see and do.
160 hrs / month
MCP integration as an ongoing part of your platform, expanding as new agent use cases come up.
Proof from past work
FAQ
Frequently asked questions
What is an MCP server, in plain terms?
A structured interface that lets an AI agent read your product's data and take real actions in it, instead of just generating text about what it would do.
Why not just let the agent call our existing API directly?
You can, but an MCP server lets you control exactly what an agent can see and do, separately from your main API's permissions — which matters once you're letting an AI agent act autonomously.
What's your stack for this?
NestJS on the backend, the same framework behind our production AI work on the OnSense AI platform.
Can this connect to third-party AI agents, not just ones you build for us?
Yes — MCP is a standard specifically so agents from different providers can connect to the same server, which is the point of building on it rather than a custom integration.
Do we need this if we're not building AI agents ourselves yet?
Probably not yet. This makes sense once you have a specific agent use case that needs to act on your product's data, not as a speculative investment ahead of one.