Tools
Read and action endpoints the AI can call — look up a record, run a calculation, or make a change. Each tool has a clear contract and validated inputs.
MCP — the Model Context Protocol — is the open standard that lets AI assistants safely read from and act within your systems through well-defined, permissioned tools. CTR/NY designs, builds, and operates the servers that make it work on your real data and workflows.
The Model Context Protocol is a secure, standardized way to give an AI assistant a defined set of tools and data sources. Instead of handing the AI broad, risky access to everything, you expose only the specific, permissioned actions you choose — each one validated, scoped to the right user, and logged.
In plain terms: an MCP server is the secure bridge between an AI assistant and your business systems. The AI can ask the server to look something up or take a defined action — like "how much overtime did Warehouse run last week?" — but it can never reach past the tools you've published. You decide what's possible. The protocol enforces it.
Every server we deliver is composed of the same well-governed parts — designed around your systems, your roles, and your rules.
Read and action endpoints the AI can call — look up a record, run a calculation, or make a change. Each tool has a clear contract and validated inputs.
Documents and data sources the AI can reference — handbooks, policies, knowledge bases, and live records — surfaced safely and in context.
Hardened connections to your databases, APIs, and platforms — including legacy and in-house systems — without exposing credentials to the AI.
Every request is tied to a verified user or service identity. No anonymous access — the server always knows who is asking.
Results are filtered to what each user and role is allowed to see — row-level scope, enforced on our side, every single time.
Every tool call is recorded — who asked, what they requested, and what came back — so you have a complete, reviewable trail.
Connecting AI to real systems only works if it's safe. Our MCP servers are built around least privilege from the first line of code — the AI gets exactly what it needs and nothing more.
An MCP server is not a one-time install — it's a living connection to systems that change. We own the full lifecycle so your team doesn't have to, backed by 75+ years of getting workforce data right.
Let's scope a custom MCP server around your data and workflows — and show you exactly what your AI could do, securely, in a live demo.