At a Glance
Zephyr
Zephyr is the deepest Jira-native test management platform: cases, cycles, execution, and 70-plus cross-project reports and dashboard gadgets all live inside Jira, backed by a mature, officially maintained automation ingestion ecosystem (JUnit 4/5, TestNG, pytest, Cucumber, Robot Framework, NUnit) and a public REST API for test management. SmartBear is investing heavily in AI: HaloAI no-code automation with self-healing locators, plus a Rovo agent that generates cases, finds coverage gaps, and assesses release risk conversationally inside Jira, and the QMetry acquisition is feeding that roadmap. It also has genuine enterprise breadth across Cloud, Data Center, and a separate single-tenant Zephyr Enterprise, and on a small Jira site its flat $10 per month is very hard to beat.
M00N Report
M00N Report is standalone and priced per active user (free tier, then $25 per user/month), so a small QA team on a large Jira site is not billed for every Jira seat. Automated results stream in live over WebSockets while the run executes, with steps, retries, screenshots, and videos, instead of arriving as a post-run XML upload, and built-in automatic flaky detection, bidirectional coverage gaps, and a composite 0-100 health score come standard rather than being assembled from gadgets. Its MCP server lets your own AI model inspect runs as they stream, and the same ingest runs identically on cloud or self-hosted via Docker Compose or Kubernetes.
Choose Zephyr if test management belongs inside Jira and you value Jira-native reporting, HaloAI automation, a public REST API, and enterprise breadth; choose M00N Report if you want standalone, team-priced, real-time reporting with built-in flaky detection, coverage gaps, and live-data AI over MCP.
Platform
| Feature | Zephyr | M00N Report |
|---|---|---|
| Works without Jira | NoThe Zephyr Jira app requires Jira and is billed against the total Jira user count of the site (the separate standalone Zephyr Enterprise product is a different SKU) | YesStandalone, with two-way Jira sync when you want it |
| Priced by your QA team size | NoEvery Jira user counts toward the license tier | YesPer active user |
Real-Time Reporting
| Feature | Zephyr | M00N Report |
|---|---|---|
| Live result streaming during the run | NoPost-run JUnit XML upload to the automation API | YesWebSocket updates while the run executes |
| Step-by-step live updates | No | YesSteps, retries, screenshots and videos as they happen |
| Automation API parity on self-hosted | PartialJUnit auto-import endpoint (POST /v2/automations/executions/junit) is Cloud-only; Server and Data Center post results via /rest/atm/1.0/testrun/{cycle}/testresults | YesSame ingest on cloud and self-hosted |
AI and MCP
| Feature | Zephyr | M00N Report |
|---|---|---|
| AI agent runs a manual test execution | PartialA hosted MCP exists, but its tool list is behind login, so agent-written run results are unverified | YesThe 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-assisted testing features | YesHaloAI no-code automation; Rovo agent for case generation and coverage gaps (requires Atlassian Rovo) | YesFlaky detection built in; failure analysis and project-aware case scaffolding via MCP (drafted by your own AI model) |
| Official MCP server for AI agents | YesSmartBear hosted MCP covers Zephyr; exposed tool list not fully documented | Yes57 documented tools, included on every plan |
| AI insights grounded in live run data | NoResults arrive post-run, so AI sees finished runs only | YesMCP tools can inspect runs as they stream |
Analytics
| Feature | Zephyr | M00N Report |
|---|---|---|
| Automatic flaky test detection | PartialNo automatic retry-based flaky metric documented; HaloAI markets highlighting of flaky and high-risk tests from execution history | Yes |
| Coverage gap analysis | PartialRovo agent can identify coverage gaps conversationally | YesBuilt-in, both directions |
| Jira dashboard gadgets | YesNative gadgets for Jira dashboards | PartialOwn dashboards; Jira sees linked issues via sync |
Deployment and Pricing
| Feature | Zephyr | M00N Report |
|---|---|---|
| Self-hosted option | PartialVia Jira Data Center ($4,760 per year for 50 users) with feature gaps vs Cloud | YesDocker Compose or Kubernetes at the same per-user price |
| Free tier | NoMarketplace trial only | Yes3 members, 1 project, no credit card |
| Transparent public pricing | YesOn the Atlassian Marketplace; Zephyr Enterprise is quote-based | Yes |
Pricing
Zephyr
Zephyr Standard on the Atlassian Marketplace: flat $10 per month up to 10 users, then about $6.81 per user/month up to 100 users with lower rates at scale - billed against the total Jira user count of your site. Data Center from $4,760 per year for 50 users. Zephyr Enterprise is a separate quote-based product.
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 pricingWhen Zephyr is the better fit
- Your organization runs on Jira and wants test management as a native Jira app with dashboard gadgets.
- You are invested in the SmartBear ecosystem and want HaloAI no-code automation of manual tests.
- Your Jira site is small, where the flat $10 per month tier is hard to beat on price.
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 live, streaming test results instead of post-run XML uploads.
- Your QA team is a fraction of your Jira user count, so per-tester pricing wins.
- You want identical ingest and features on cloud and self-hosted, not a Cloud-first API.
- You want built-in flaky detection and coverage gap analysis instead of assembling them from gadgets - plus Feature Scan for per-story coverage and risk straight from a Jira link.
Switching from Zephyr
Export your Zephyr test cases to Excel from the test case search screen (one export per test case template), convert to CSV, and import them into M00N Report with the field-mapping wizard - or hand the export to an AI assistant and let it recreate the cases through the MCP server from Markdown. Then point your frameworks at the published M00N Report reporters and results stream in live - no post-run upload step to maintain.
Bottom Line
If your organization runs on Jira and wants test cases, cycles, and reporting to stay there, Zephyr is the more natural home. Stakeholders read the dashboard gadgets they already have, HaloAI automates manual tests without code, the Rovo agent works where your issues live, and there is a public REST API for test management that M00N Report does not offer, since M00N Report specs only an ingest contract. Add Data Center and a separate single-tenant Zephyr Enterprise for large or regulated deployments, and on a small Jira site the flat $10 per month tier is genuinely cheaper than per-user pricing. M00N Report is the better pick when your QA team is a fraction of your Jira seats, when you want results streaming live during the run instead of uploaded after it, and when built-in flaky detection, bidirectional coverage gaps, and an MCP server that reasons over live run data matter more than staying inside Jira.
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. Zephyr has a hosted SmartBear MCP, but its tool list is behind login, so whether an agent can write run results is unverified.
Is M00N Report a Zephyr alternative?
Yes, for teams that want standalone, real-time test reporting with built-in test case management. Zephyr remains a solid choice for Jira-native test management, especially on small Jira sites.
Does Zephyr show test results in real time?
Automated results reach Zephyr as JUnit XML uploaded after the run through its automation API. M00N Report streams results over WebSockets while the run is still executing, step by step.
Does Zephyr have an MCP server?
Yes - SmartBear ships an official hosted MCP server that covers Zephyr. M00N Report also ships an official MCP server, with 57 documented tools included on every plan.
How does pricing compare for a small QA team on a big Jira site?
Zephyr is billed against the total Jira user count, so 10 testers on a 500-user Jira site pay for 500 users. M00N Report charges $25 per active user - only your actual team.
Facts verified on 2026-07-21. Spotted something outdated? Tell us on Discord.