AI-Ready Data
Give agents governed access to your warehouse, not a copy of it.
Stand up MCP servers that expose governed warehouse data and tools to AI agents, with client integration, authentication, and access control, so agents query your trusted data live through one governed interface instead of working off stale extracts.
How do our AI agents query trusted data without copying the warehouse into every tool?
Every agent that needs data is a new integration, a new copy, and a new place for access to leak. MCP (the Model Context Protocol) gives agents one governed interface to your data and tools instead. This project builds the MCP servers and client integration that expose your warehouse to agents safely, with authentication and access control, so the acting edge reads live, governed data.
What's included
MCP server build
MCP servers that expose governed warehouse data and tools, scoped to the queries and actions agents actually need.
Client and auth
Client integration with authentication and access control, so each agent gets exactly the access it should and no more.
Governed access layer
One governed interface between your data and any number of agents, instead of a copy per tool.
Live, trusted data
Agents query the warehouse live through the server, so they act on current, governed data rather than stale extracts.
How it works
- 1
Scope the surface
We define the data and tools agents need and design the server surface around them.
- 2
Build the server
We build the MCP server over your governed warehouse, scoped and access-controlled.
- 3
Integrate and secure
We wire client integration with authentication, so each agent's access is governed.
What you walk away with
- MCP servers exposing governed warehouse data and tools to agents
- Client integration with authentication and access control
- One governed access layer instead of a copy per tool
- Agents acting on live, trusted, governed data
Frequently asked
- What is MCP, and why use it?
- MCP, the Model Context Protocol, is a standard way to expose data and tools to AI agents. It replaces one-off integrations with a single governed interface, so adding an agent does not mean copying your warehouse again.
- How does this connect to building agents?
- MCP servers are the data-access layer for the acting edge. The AI Workflow Automation pillar builds the agents that consume them, reading your governed data through the server.
Give the acting edge governed data access
Book a consultation to build the MCP layer that lets agents query your trusted warehouse safely.
Where this leads next
AI Workflow Automation
Build the agents and workflows that consume these governed data servers.
Explore the pillar