Guide · Business AI
What MCP is and how it connects AI agents to business data
MCP is a protocol that lets an AI client discover and use tools published by a server. In business, its value is not opening the database but exposing specific actions and queries with authentication, validation and limits.
Data sources
Read-only views without PII
MCP tools
Authorised agent
The problem it solves
Copying data into a chat is slow, unsafe and loses context. MCP creates a stable interface between agent and system.
- + Discoverable tools
- + Structured inputs
- + Consistent responses
Tools, not total access
A compare_revenue tool can accept a period and company. It never needs to expose tables or SQL.
- + Explicit scope
- + Validation
- + Minimal results
Secure architecture
An authorised server, read-only views without PII, controlled tools and logs form multiple protective layers.
- + Least privilege
- + No writes
- + Revocable credentials
What MCP cannot fix
It cannot repair ambiguous metrics or incomplete data. Definitions and periods still need validation.
- + Semantics
- + Completeness
- + Human responsibility
A working example
Our rental platform exposes operational and financial metrics through six read-only tools.
- + Revenue
- + Costs
- + Months
- + Operations
Next step
JUYE / START
Chaos between systems, or manual work nobody wants to do? Write to us.
Tell us which systems you use and where work gets stuck.