XERTIFY CONNECTORS
Bring X-Trace into your wider toolchain.
X-Trace connects to your organisation’s AI agent through MCP. Where that same agent is connected to other engineering tools, it can work across both environments — bringing traceability context closer to the workflows your teams already use.
X-Trace doesn't need to replace your engineering toolchain.
It gives your AI agent a way to bring traceability into it.
CONNECTED TOOLCHAIN
One agent. More connected engineering workflows.
Jira
Connect delivery and traceability context.
Keep Jira focused on day-to-day delivery and issue management while X-Trace maintains the requirement-to-verification lifecycle. When the same AI agent can access both environments, teams can work across delivery and traceability context through one workflow.
GitHub
Bring development and traceability closer together.
Keep development activity in GitHub while X-Trace provides the structured requirements and verification context around the wider engineering lifecycle. Through a shared AI agent, these environments can form part of a more connected engineering toolchain.
SharePoint
Bring project information into the wider workflow.
SharePoint often sits at the centre of organisational documents and project knowledge, while X-Trace maintains structured engineering traceability. A shared AI agent creates a pathway for these environments to participate in the same connected workflow.
Confluence
Connect engineering knowledge with traceability context.
Keep team knowledge and documentation in Confluence while X-Trace manages the structured relationships between requirements and verification. With both environments accessible to the same AI agent, engineering knowledge and traceability can sit closer together in the wider workflow.