Ask what supports the change
Use Zentrik MCP to inspect relevant signals, opportunities, initiatives, and source evidence.
Zentrik for Codex
Codex can move fast through implementation. Zentrik gives it the product context first: what customers said, what the team decided, and what the change must satisfy.
Context becomes a build brief
Evidence arrives before the prompt.
Feedback
Reports lose context
Zentrik
Contract keeps evidence
Builder
Cursor gets scoped checks
Delivery
PR and Jira stay linked
How it works
Use Zentrik before a Codex session when the change needs customer evidence, product constraints, and acceptance criteria attached to the code task.
Use Zentrik MCP to inspect relevant signals, opportunities, initiatives, and source evidence.
Codex can work from the reviewed problem, constraints, acceptance criteria, and linked delivery scope.
The task starts from what the product team knows, not only the codebase and chat history.
The implementation can be checked against source-backed requirements and acceptance criteria.
Context
Product context follows the work
Docs
PRDs, specs, release notes
View rules
Used by planning and docs
Planning
Documents
Prototypes
Context before code
Zentrik connects the implementation brief to the source evidence, accepted constraints, and workspace context Codex needs for a grounded run.
What travels with the work
Source evidence
Codex can work from the customer signal, opportunity, initiative, and linked artifacts behind the request.
Approved requirement
The implementation brief includes the problem, constraints, acceptance criteria, and delivery scope.
Workspace context
MCP gives Codex access to the same product context the team approved before touching code.
Review checks
The finished change can be compared back to the original product intent and source-backed criteria.
Common questions
Connect the Zentrik MCP server in Codex. Codex can then query the customer evidence, product decisions, constraints, and acceptance criteria behind a change instead of working only from the codebase and chat history.
It is a Model Context Protocol server that exposes product knowledge — signals, insights, opportunities, initiatives, specs, and acceptance criteria — to coding agents like Codex, Claude Code, and Cursor, with workspace-bound access.
The implementation starts from a reviewed requirement with source evidence and acceptance criteria attached, and the finished change can be checked back against that product intent — requirements traceability for AI coding agents.
Yes. The same MCP server and handoff workflows support Claude Code and Cursor, so every agent environment works from the same approved product context.
Next step