Jira Xray
Built by mendezangelleo, this server automates test case generation and synchronization for Jira/Xray integration using Google's Vertex AI. It analyzes Jira user stories and comments to generate Gherkin-formatted test scenarios, then intelligently syncs them with existing linked test issues by comparing content signatures to determine which tests need creation, updates, or are obsolete. The implementation supports ADF (Atlassian Document Format) parsing, handles Spanish/English copy validation scenarios, includes deduplication logic, and provides Jira API integration for test case management, making it useful for QA teams looking to automate test case creation from requirements and maintain synchronized test suites.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/mendezangelleo/mcp-xray-python
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Jira Xray from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.