Upskilling teams · Case Study 04

AI Architecture Enablement

The tool boundary is explicit: MCP hosts broker calls, tool servers own access, and schema validation keeps unsafe data away from the agent core.

status

DEPLOYED

environment

Enterprise Hub

ingress

Corporate Gateway

runtime graph

5 nodes / 5 edges

System map

AI Architecture Enablement

Env: Enterprise HubIngress: Corporate Gateway

Problem: I designed patterns for teams adopting MCP-style tools. The goal was to let agents call databases and APIs without exposing raw credentials or ownership boundaries.

My engineering note

The tool boundary is explicit: MCP hosts broker calls, tool servers own access, and schema validation keeps unsafe data away from the agent core.

Live path

tool catalog: Admin UI -> MCP host

Path running

Mini Map
Interactive map

Zones, edges, and logs come from the case-study data model.

Architecture Decision

Why I chose this design.

Short decision notes tied to the code or config that mattered.

Decision

ADR-04-MCP.md

I used MCP-style tool boundaries so teams can reuse agent capabilities without copying secrets or proprietary logic into every app.

ADR-04-MCP.mdmarkdown
markdown
# ADR-04: Model Context Protocol Adoption
## StatusAccepted
## ContextMulti-agent workflows need dynamic tool access, but directmodel-to-system integration creates duplicated security logic.
## DecisionWrap database connections, internal APIs, and calculators inseparate MCP-style tool servers. The agent runtime receivesschema-validated tool results, not raw system access.
## ConsequenceLatency may increase at the protocol boundary, but ownership,auditability, and reuse improve across teams.
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