MCP Scenarios & Examples
Discover powerful ways to use M00N Report's MCP integration in your daily workflow. From quick status checks, to authoring test cases and assembling manual executions, to multi-tool workflows combining Jira, Confluence, Slack, and more.
Daily Work Scenarios
These are common requests you can make of your AI assistant - both questions about your test data and changes to your test assets - without leaving your workflow.
Start your day with a quick overview of test health.
"What's the test pass rate for all my projects over the last 7 days? Highlight any projects below 90%."Identify unstable tests that need attention.
"Show me the top 10 flaky tests in the E2E project. Include their instability scores and when they last flipped."Find slowest tests that are blocking your CI pipeline.
"Which tests are taking the longest in our API Tests project? Show me the top 5 slowest tests and their average duration."Track test coverage progress during the sprint.
"Give me a summary of test runs this week including pass rate, total tests, and comparison to last week."Quickly identify what's failing in your latest runs.
"Show me all failed test runs from the last 24 hours. Group them by error message or test name."Analyze specific test categories like smoke or regression.
"What's the pass rate for tests tagged 'smoke' over the last 30 days? Compare it to 'regression' tests."Spot degradation patterns before they become critical.
"Is our test pass rate trending up or down over the last 14 days? Identify any significant changes."Find tests related to a specific feature or module.
"Find all test runs that contain 'checkout' in their title from the last week."Check if the release candidate is ready to ship.
"What's the status of our nightly runs this week? Are we release-ready with 95%+ pass rate?"The agent exercises your app (e.g. via a Playwright MCP), then writes the results back itself: pass/fail per step, case statuses derived automatically, group and execution statuses updated, failures linked to Jira. Start it with the run_manual_execution prompt, or read the full Agentic Testing guide.
"Run the 'Sprint 48 Smoke' execution against staging: follow each case's steps in the browser, record pass/fail per step, mark blocked cases with the reason, link failures to Jira, and set the final execution status."Compare test health across different projects.
"Compare the pass rates of my API Tests and E2E Tests projects. Which one needs more attention?"Turn a spec or ticket into real, stored test cases with steps.
"Read this spec and create test cases for the password reset flow under Regression > Auth. Tag them 'auth' and 'regression', and link each one to PROJ-812."Plan a manual test cycle without opening the UI.
"Create a Manual Test Execution called 'v2.1.0 Release Pass' on Staging, add the Smoke and Checkout suites, and add TC-101, TC-102 and TC-103 as a 'Payments' group."Act on the gap report instead of only reading it.
"Run a coverage gap check. For every autotest in recent launches that no case owns, either link it to an existing case or create the missing case for it."Multi-MCP Integration Workflows
Combine M00N Report with other MCP-enabled tools to create powerful automated workflows. These examples show how to connect your test data with issue tracking, documentation, and communication platforms.
Create regression test cases directly from Jira bugs, then track their verification status.
"Find Jira bug PROJ-1234, create a regression test case in M00N Report based on its description and reproduction steps, then link it to the existing 'Checkout' test collection for the next sprint."Automatically generate quality reports for releases with test coverage and metrics.
"Get the test execution summary for release v3.2.0 from M00N Report, then create a Confluence page in the Releases space with a formatted quality report including pass rates, known issues, and test coverage metrics."Automatically create Jira bugs for new test failures detected in CI runs.
"Check last night's CI run for failures. For each new failure (not seen in the last 7 days), create a Jira bug in the QA project with the test name, error message, and stack trace. Label them 'auto-created' and 'ci-failure'."Generate daily QA standups with test health and linked issues.
"Create a daily standup summary: get yesterday's test results from M00N Report, find any related Jira issues for failures, and post a formatted summary to the #qa-standup Slack channel with pass rates and action items."Analyze test impact before merging pull requests.
"For PR #456 in our main repo, check if any tests related to the changed files (src/checkout/*) have been flaky recently in M00N Report. Summarize the risk and add a comment to the PR with recommendations."Log test metrics to a spreadsheet for tracking and executive reporting.
"Get this week's test metrics from M00N Report (total runs, pass rate, flaky count, slowest tests) and append a new row to our QA Metrics spreadsheet with the date and all metrics."Correlate test health with sprint issues and velocity.
"Get current sprint issues from Linear and cross-reference with M00N Report test results. Identify any features without test coverage and flag them in the sprint backlog."Keep your test strategy docs updated with real metrics.
"Update our Test Strategy page in Notion with the latest metrics from M00N Report: current test count, pass rate trends, top flaky tests, and coverage by feature area."Escalate critical test failures to on-call engineers automatically.
"Check M00N Report for any failures in tests tagged 'critical' from the last hour. If found, create a PagerDuty incident with high urgency including the failure details and affected components."Sync or migrate test cases and results between platforms.
"Export all test cases from the 'Login' suite in TestRail and import them into M00N Report as a new test collection, preserving steps, expected results, and priority tags."Pro Tips for Multi-MCP Workflows
Chains run in both directions. Read then act elsewhere: "Get failures from M00N → Create Jira bugs → Post to Slack." Or read elsewhere then write back: "Read the spec in Confluence → create_test_case in M00N → add_cases_to_execution."
Use tags, date ranges, and status filters to narrow down results. This reduces noise and makes multi-tool workflows more precise.
When creating bugs or tasks, include deduplication logic like "only create if not already reported in the last 7 days."
Tag auto-created items (bugs, docs, tasks) with labels like 'auto-created' or 'mcp-generated' so you can track automation effectiveness.
Set up scheduled prompts for daily standups, weekly reports, or release quality checks. Many AI assistants support scheduled tasks.
Ready to Get Started?
Set up M00N Report's MCP integration to start using these scenarios in your daily workflow.