Enterprise WordPress AI architecture separates model reasoning from deterministic WordPress capabilities and governs every data and action boundary. A useful agent needs more than a model and a plugin. It needs scoped tools, authenticated users, policy, confirmation, evaluation, audit, and safe failure.
At a Glance
| Area | Control |
|---|---|
| Capabilities | Bounded WordPress abilities |
| Protocol | MCP or API transport |
| Identity | Authenticated user and service context |
| Policy | Permission and confirmation rules |
| Knowledge | Permission-aware retrieval |
| Operations | Audit, evaluation, monitoring, and rollback |
Start With an Approved Use Case
Define the user, task, business value, data class, error cost, owner, and success measures. Avoid granting broad site access before the workflow is understood.
Expose Bounded Capabilities
Wrap business operations as narrow abilities with schemas, validation, permission checks, predictable outputs, and safe errors. Do not give agents arbitrary PHP, SQL, or shell access.
Choose the Interaction Boundary
Use MCP for discoverable tool and context exchange, REST for application integrations, and WP-CLI for trusted operational automation. The protocol does not replace authorization.
Separate Read and Write Risk
Reading public content, reading private records, drafting content, publishing, managing users, and changing configuration need different controls.
- Default to least privilege
- Require confirmation for consequential writes
- Protect bulk actions
- Support dry runs
Build Permission-Aware Retrieval
Filter sources before text reaches the model. Carry site, tenant, role, confidentiality, and retention metadata into indexing and retrieval.
Evaluate the Complete System
Test task quality, grounding, authorization, prompt injection, tool selection, failure behavior, latency, and human correction. Model benchmarks alone are insufficient.
Operate and Audit
Record user, tool, arguments summary, decision, confirmation, result, and correlation ID without logging secrets or unnecessary private content.
Implementation Checklist
- Use case and owner approved
- Abilities bounded and schema-defined
- Identity propagated
- Permissions checked at execution
- Writes confirmed by risk
- Retrieval filtered before prompting
- Evaluation set maintained
- Audit and rollback tested
Frequently Asked Questions
What is MCP?
Model Context Protocol is a standard for connecting AI applications to tools, resources, and prompts through defined client and server roles.
What is the WordPress Abilities API?
It provides a discoverable registry for WordPress capabilities with metadata, schemas, permission checks, and execution callbacks.
Should an AI agent get administrator access?
No. Grant only the abilities and data required for its task, under the authenticated user’s authority and additional policy.
Can AI publish automatically?
It can technically, but enterprise workflows should require explicit authority, validation, provenance, and often human approval.
How is prompt injection handled?
Treat retrieved and user content as untrusted, constrain tools, separate instructions from data, validate actions, and require confirmation for high-risk operations.
What should be audited?
Who initiated the action, which ability ran, confirmation, bounded inputs, outcome, failures, and changes made.
My WordPress AI work covers MCP servers, Abilities API design, custom plugins, permission models, retrieval, evaluation, and governed automation.
