M00N Report vs Xray: test management compared

Xray is the leading test management app for Jira. Tests, plans and executions live as Jira issues with end-to-end traceability from requirements to defects, which makes it a natural pick for organizations whose entire process already runs on Jira.

M00N Report is a standalone platform: it works with Jira through two-way sync and a Forge app, but does not require it. Results stream in live over WebSockets during the run, and pricing follows your team size instead of your total Jira user count.

At a Glance

Xray

Xray is the deepest Jira-native test management tool on the market. Tests, preconditions, plans and executions are real Jira issues, which gives it genuine end-to-end requirements-to-defect traceability, first-class Cucumber/BDD support, and compliance-grade extras like test case versioning in its Enterprise tier. It is battle-tested at scale with a very large enterprise install base and broad framework/importer coverage, so if Jira is already your system of record it is hard to beat on nativeness.

M00N Report

M00N Report is a standalone platform that works with Jira through two-way sync and a Forge issue-panel app but never requires a Jira license for every stakeholder. It streams automated results live over WebSockets while a run is still executing instead of importing complete result files afterward, prices per active QA user rather than per Jira seat, and ships an official MCP server plus five reporters (Playwright, Jest, JUnit 5, pytest, NUnit).

Choose Xray if your whole organization runs inside Jira and you need tests as native issues with full traceability and BDD; choose M00N Report if you want live streaming results, an official AI/MCP interface, and pricing tied to your QA team rather than your total Jira user count.

Platform

FeatureXrayM00N Report
Works without JiraNoEvery deployment runs inside a Jira instanceYesStandalone, with two-way Jira sync when you want it
Priced by your QA team sizeNoLicensed to the total Jira user tier, not the number of testersYesPer active user
Requirements-to-defect traceability in JiraYesCategory-definingPartialVia Jira two-way sync and linked issues
Coverage report for a Jira epic or storyYesRequirement coverage reports inside JiraYesFeature Scan: linked cases, results, gaps and a risk score without living in Jira

Real-Time Reporting

FeatureXrayM00N Report
Live result streaming during the runNoComplete result files imported after the run (JUnit, TestNG, NUnit, Robot, Cucumber)YesWebSocket updates while the run executes
Dashboards update without manual refreshPartialJira dashboard gadgets auto-refresh on a timed interval (default ~15 minutes); no real-time push during a runYes

AI and MCP

FeatureXrayM00N Report
AI agent runs a manual test executionNoNo official MCP; the docs point at a generic GraphQL bridge that knows nothing about XrayYesThe run_manual_execution prompt walks the agent through it: read each case step, exercise it against the app, write pass/fail back per step with an issue note. Case and group statuses derive themselves. Included on every plan, cloud and self-hosted.
AI test case generationYesSembi IQ generation on Cloud plans, consumes AI CreditsPartialBy design, no in-product LLM and no metered AI credits. Your own connected AI model drafts the cases over MCP with the access it already has; suggest_test_cases adds project-aware scaffolding and create_test_case persists them.
Official MCP server for AI agentsNoDocs point to a generic open-source GraphQL MCP bridge rather than an Xray-specific server; an official server remains an open feature requestYesFull read and write access; Claude via the remote OAuth connector, Cursor and other clients via the published npm package with an MCP key
AI failure analysis and triageNoAI Test Prioritization shipped June 2026; failure triage not documentedYesMCP gives a connected AI full run and history data to triage failures; the AI is the customer's model, not a built-in feature

Test Case Management

FeatureXrayM00N Report
Manual and BDD test casesYesIncluding native Cucumber supportYesManual cases linked natively to automated results
Lossless test case exportPartialJira issue export drops steps; CSV export or GraphQL API (10,000-item cap) neededNoCSV import via field-mapping wizard; M00N Report does not offer CSV export of test cases

Deployment and Pricing

FeatureXrayM00N Report
Self-hosted optionPartialVia the Jira Data Center app, priced by Jira user tierYesDocker Compose or Kubernetes at the same per-user price
Free tierNoMarketplace trial onlyYes3 members, 1 project, no credit card

Pricing

Xray

Priced through the Atlassian Marketplace against your total Jira user count: about $6.33 per user/month in the 11-100 band (the up-to-10-user tier is a flat $100/year), with lower marginal rates at scale (for example, 100 users is $6,330 per year). Data Center starts at $2,875 per year for 50 users. Every Jira user counts toward the bill, not just testers.

Source: official pricing page (as of 2026-07-19)

M00N Report

Free tier for small teams (no credit card); Team at $25 per user/month or $250 per user/year. Self-hosted is a plan at the same per-user price, not an enterprise upcharge.

See full pricing

When Xray is the better fit

  • Your whole organization lives in Jira and you want tests, requirements and defects as native Jira issues with full traceability.
  • You need BDD (Cucumber) tests managed alongside manual ones inside Jira.
  • You are a regulated enterprise that values Xray Enterprise features like test case versioning for compliance.

When M00N Report is the better fit

  • Your regression pass is manual and repetitive: an AI agent can run the execution case by case, writing pass/fail back per step with an issue note, and leave the same evidence a human tester would.
  • You want test reporting and management that does not require a Jira license for every stakeholder.
  • Your automated suite deserves live, streaming results instead of post-run file imports.
  • You want an official MCP server so AI assistants can query runs, triage failures and create cases directly.
  • Your Jira instance is large but your QA team is small - per-tester pricing will cost a fraction of a whole-site license.
  • You still want Jira-level coverage answers: Feature Scan reports linked cases, results, gaps and a risk score for any epic or story.

Switching from Xray

Export your Xray test cases to CSV (the Jira built-in export drops test steps, so use the Xray CSV export or the GraphQL API), then import them into M00N Report with the field-mapping wizard. An AI assistant connected to the MCP server can also rebuild cases directly from Markdown. Keep Jira in the loop through two-way issue sync while your automated results stream in via the published reporters.

Bottom Line

Xray is the right call when Jira is your single source of truth and you need tests to live as native Jira issues with end-to-end requirements-to-defect traceability, native Cucumber/BDD managed alongside manual cases, and compliance features like test case versioning. That is a real, category-defining strength, and it matters most for regulated or Jira-standardized enterprises where everyone already holds a Jira license. Where Xray is weaker is anything outside that world: it cannot run without Jira, its automated results arrive as complete files imported after a run rather than streaming live, its dashboards refresh on a timer rather than pushing in real time, and its bill scales with your total Jira user tier even if only a handful of people do QA. M00N Report is the better fit when you do not live entirely in Jira, when you want live in-run reporting and an official MCP server for AI assistants, or when your Jira instance is large but your QA team is small. If your traceability and BDD needs are inside Jira and you are happy paying by Jira seat, stay with Xray.

Frequently asked questions

Can an AI agent actually run my manual test cases?

In M00N Report, yes. The manual run itself is exposed over MCP: the agent reads each case step as data, exercises it against your app with its own tooling such as a browser MCP, and writes pass or fail back per step, with case, group and execution statuses deriving themselves. It fits regression passes and exploratory sessions, and a human can take over the same run mid-way. Xray has no official MCP server - the docs point at a generic GraphQL bridge that knows nothing about Xray - and its AI Test Case Generation drafts cases for a human to run.

Is there an Xray alternative that works outside Jira?

Yes. M00N Report is a standalone test reporting and management platform. It integrates with Jira through two-way sync and an Atlassian Forge app, but does not require Jira to run.

Why is Xray pricing based on all Jira users?

Atlassian Marketplace apps are licensed to the Jira instance user tier, so you pay for every Jira user even if only a fraction do QA. M00N Report is priced per active user on your QA side.

Does Xray have an MCP server?

Not an official one as of mid-2026: the Xray docs describe wiring a generic GraphQL MCP bridge, and an official server remains an open feature request in their tracker. M00N Report ships an official MCP server.

Can M00N Report show results in real time like Xray?

This is where they differ most: Xray imports complete result files after a run finishes, while M00N Report streams results over WebSockets while the run is still executing.

Facts verified on 2026-07-21. Spotted something outdated? Tell us on Discord.

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