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io.github.MUSE-CODE-SPACE/test-genie

NPM · TEST-GENIE-MCP

AI-powered app test automation for iOS, Android, Flutter, React Native, Web

Available components

0 this week 78 Trust /100

Last scanned (5 hours ago)

Scores higher than 58% of npm servers

Category Testing and QA

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security80
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects uuid 9.0.1, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 50 of 148 dependencies flagged as unhealthy (2 deprecated). View diagnostics → Partial
Provenance & Transparency48
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 121 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability69
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1317 tokens (~69/item across 19 items; 19 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 19 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 19 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Nov 26 0
    • Stability: 0.97 → pass security
  • 2 Nov 26 0
    • Stability: pass → 0.97 functional
  • 31 Oct 26 0
    • CVE-2026-118773 affects this package: high ▼ security
    • CVE-2026-118764 affects this package: high ▼ security
  • 27 Oct 26 0
    • Stability: 0.97 → pass security
  • 26 Oct 26 0
    • Stability: pass → 0.97 functional
  • 20 Oct 26 0
    • Stability: 0.97 → pass security
  • 19 Oct 26 0
    • Stability: pass → 0.97 functional
  • 17 Oct 26 +2
    • Stability: 0.87 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed npm/test-genie-mcp@2.0.3

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 3 findings
ID CVE Severity Vector Fix available
GHSA-3g3m-2fjr-6pw4 CVE-2026-118773 medium yes
GHSA-g3hv-75wg-m249 CVE-2026-118764 medium yes
GHSA-w5hq-g745-h8pq CVE-2026-41907 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 148 packages
Packages resolved 148
Deprecated 2
Stale 48
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 19 exposed · ~1,317 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
analyze_app_structure ~80

Analyze app codebase structure including screens, components, APIs, and state management. Supports iOS, Android, Flutter, React Native, and Web platforms.

NameTypeReqDescription
depthstring–Analysis depth level
platformstring–Target platform (auto-detected if not provided)
projectPathstringyesPath to the project root directory

No output schema declared.

No examples provided.

analyze_code_deep ~50

Deep AST-based code analysis with function extraction, complexity metrics, hook analysis, and issue detection.

NameTypeReqDescription
platformstring–Target platform
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

analyze_performance ~49

Deep performance analysis including rendering, computation, network, and bundle size issues. Provides actionable recommendations.

NameTypeReqDescription
platformstring–Target platform
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

apply_fix ~65

Apply a confirmed fix to the codebase.

NameTypeReqDescription
backupboolean–Create backup before applying
dryRunboolean–Preview changes without applying
fixIdstringyesID of the fix to apply
validateboolean–Validate syntax after applying

No output schema declared.

No examples provided.

confirm_fix ~68

Confirm or reject a suggested fix before application.

NameTypeReqDescription
actionstringyesConfirmation action
fixIdstringyesID of the fix to confirm
modifiedCodestring–Modified code if action is modify
reasonstring–Reason for rejection if action is reject

No output schema declared.

No examples provided.

create_test_plan ~92

Create a test plan from generated scenarios with filtering and scheduling options.

NameTypeReqDescription
maxDurationnumber–Maximum duration in seconds
namestringyesName of the test plan
priorityFilterarray–Filter by priority
projectPathstringyesPath to the project
templatestring–Use a predefined template
typeFilterarray–Filter by test type

No output schema declared.

No examples provided.

detect_logic_errors ~63

Detect logic errors including race conditions, state inconsistencies, null references, and type mismatches.

NameTypeReqDescription
analysisDepthstring–Analysis depth
checkTypesarray–Types of errors to check
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

detect_memory_leaks ~67

Detect memory leaks, retain cycles, and unclosed resources through static and dynamic analysis.

NameTypeReqDescription
analysisTypestring–Type of analysis
minLeakSizeMBnumber–Minimum leak size to report (MB)
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

generate_cicd_config ~110

Generate CI/CD configuration for GitHub Actions, Jenkins, or GitLab CI with test automation integration.

NameTypeReqDescription
branchesarray–Branches to run CI on
buildCommandstring–Custom build command
platformstring–Target platform
projectPathstringyesPath to the project
providerstringyesCI/CD provider
testCommandstring–Custom test command
writeToFileboolean–Write config to project

No output schema declared.

No examples provided.

generate_report ~66

Generate detailed test automation report in Markdown, HTML, or JSON format.

NameTypeReqDescription
formatstring–Report format
outputPathstring–Path to save the report
projectPathstringyesPath to the project
sectionsarray–Sections to include

No output schema declared.

No examples provided.

generate_scenarios ~97

Generate test scenarios based on app structure analysis. Creates E2E, integration, unit, performance, and memory test scenarios.

NameTypeReqDescription
coveragestring–Coverage level
focusAreasarray–Specific areas to focus on
maxScenariosnumber–Maximum number of scenarios to generate
projectPathstringyesPath to the project
testTypesarray–Types of tests to generate

No output schema declared.

No examples provided.

get_pending_fixes ~32

Get list of pending fix suggestions waiting for confirmation.

NameTypeReqDescription
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

get_test_history ~40

Get test execution history for a project.

NameTypeReqDescription
limitnumber–Maximum results to return
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

rollback_fix ~32

Rollback an applied fix to restore original code.

NameTypeReqDescription
fixIdstringyesID of the fix to rollback

No output schema declared.

No examples provided.

run_full_automation ~93

Run complete test automation pipeline: analyze → generate scenarios → run tests → detect issues → suggest fixes. Interactive confirmation for fixes.

NameTypeReqDescription
autoFixboolean–Automatically apply high-confidence fixes
confirmModestring–Fix confirmation mode
platformstring–Target platform
projectPathstringyesPath to the project
testTypesarray–Types of tests to run

No output schema declared.

No examples provided.

run_scenario_test ~87

Run a specific test scenario and get detailed results.

NameTypeReqDescription
devicestring–Target device or simulator
platformstringyesTarget platform
projectPathstringyesPath to the project
retriesnumber–Number of retry attempts
scenarioIdstringyesID of the scenario to run
timeoutnumber–Timeout in milliseconds

No output schema declared.

No examples provided.

run_simulation ~79

Run user behavior simulation to find issues through random/pattern-based testing.

NameTypeReqDescription
durationnumberyesSimulation duration in seconds
intensitystring–Interaction intensity
monitorMetricsarray–Metrics to monitor
projectPathstringyesPath to the project
userPatternsarray–User behavior patterns to simulate

No output schema declared.

No examples provided.

run_stress_test ~92

Run stress/load tests on APIs or UI components.

NameTypeReqDescription
concurrencynumberyesNumber of concurrent users/requests
durationnumberyesTest duration in seconds
endpointsarray–Specific endpoints to test
projectPathstringyesPath to the project
rampUpnumber–Ramp up time in seconds
targetTypestringyesWhat to stress test

No output schema declared.

No examples provided.

suggest_fixes ~55

Generate AI-powered fix suggestions for detected issues.

NameTypeReqDescription
issueIdsarray–Specific issue IDs to fix
maxSuggestionsnumber–Maximum suggestions to generate
projectPathstringyesPath to the project

No output schema declared.

No examples provided.

Install

How do I install the io.github.MUSE-CODE-SPACE/test-genie MCP server?

io.github.MUSE-CODE-SPACE/test-genie runs locally as an npm package, launched with npx -y test-genie-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · test-genie-mcp

# add to Claude Code
claude mcp add muse-code-space-test-genie -- npx -y test-genie-mcp
Common questions

What is the io.github.MUSE-CODE-SPACE/test-genie MCP server?

io.github.MUSE-CODE-SPACE/test-genie is an MCP server listed in the public MCP registry as io.github.MUSE-CODE-SPACE/test-genie. AI-powered app test automation for iOS, Android, Flutter, React Native, Web. This page covers its npm package (test-genie-mcp).

Is the io.github.MUSE-CODE-SPACE/test-genie MCP server safe to use?

io.github.MUSE-CODE-SPACE/test-genie scores 78 out of 100 on VerifyMCP. We recorded 3 known advisories against it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.MUSE-CODE-SPACE/test-genie MCP server expose?

io.github.MUSE-CODE-SPACE/test-genie exposes 19 tools: analyze_app_structure, generate_scenarios, create_test_plan, run_scenario_test, run_simulation, and 14 more. Their descriptions and schemas cost roughly 1,317 tokens of context every time the server is loaded.

Is the io.github.MUSE-CODE-SPACE/test-genie MCP server still maintained?

io.github.MUSE-CODE-SPACE/test-genie is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.MUSE-CODE-SPACE/test-genie MCP server under?

io.github.MUSE-CODE-SPACE/test-genie declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.