← The Library

Workbook

The Practitioner MCP Stack Blueprint

The three-agent reading layer for a wellness practice — how to wire it via MCP, govern it, and roll it out in 21 days.

7 KBapplication/pdfInstant download
The build plan for the full reading layer: three narrow agents — intake, ledger, protocol — wired via MCP to the tools you already run, wrapped in a governance layer your team can operate without you. Includes the tool-to-permission mapping (least privilege), the governance layer (consent capture, approval gates, audit trail), explicit per-agent guardrails, SOPs your team can run without you, and a 21-day rollout that switches one agent on per week, governance first. Assumes you already know what an agent and MCP are — if not, start with the Field Guide.

Who it's for

For practitioners scaling 1:1 work without scaling burnout.

Best for

  • You run a coaching, nutrition, functional-medicine or longevity practice.
  • You want to use AI as a delivery layer — not replace your clinical judgement.
  • You're done re-explaining the same protocol in every consult.

Not the right fit if

  • You want a fully managed software product — this is a build-it-yourself system.
  • You're not ready to put your method in writing.

Audience: Practitioners · Domain: ai-literacy

Inside · paste-ready blocks

ai-agentsmcpmodel-context-protocolpractitionergovernanceai-stackwellness-practice

Three narrow agents beat one broad one. Each has a single job, its own boundary, and its own approval gate. They pass work down the line — intake feeds the brief, the ledger agent adds pattern context, the protocol agent drafts — and you sign off at each step.

🔒 The step-by-step guide unlocks after purchase.

Before you buy.

It's built for practitioners — coaches, nutritionists, integrative clinicians — who want to give clients a private AI workflow without recommending another consumer app.

Find the next layer of your stack.

Picked to pair with this resource

Based on what you've been reading — always learning.

See all →