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MCP Governance and Reliable Knowledge

Connecting MCP is the easy part. The hard part is deciding which sources are reliable, which tools write, who approves, and how contradictions are resolved.

  • Design an inventory of servers, tools, and actual permissions.
  • Separate verified knowledge from obsolete or contradictory documents.
  • Define human approvals for tools with external impact.
Terminal
registro_mcp:
  server: github-readonly
  owner: equipo-dev
  entorno: produccion
  tools:
    - list_issues: allow
    - read_pull_request: allow
    - merge_pull_request: deny
  fuentes:
    prioridad:
      - docs/versionadas
      - runbooks/aprobados
      - issues/recientes
    prohibido:
      - borradores
      - documentos_sin_fecha
  revision:
    acciones_criticas: humana
    caducidad_fuentes_dias: 90
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Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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