Spur GitHub Integration: Actions, Checks and PR Workflow

Part of Testing Tools with GitHub Integrations · Full Spur profile

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Overview

Spur is a commercial AI QA testing service that runs plain-English test flows against web and native mobile applications.

GitHub

GitHub

Supported

Integration

Verified 2026-09-26 [9]

Limitations

No limitations recorded for this property.

Pricing

Unknown

Models: Subscription, Usage-basedFree tier: UnavailableTrial: Unknown

Not yet verified

Other tools in Testing Tools with GitHub Integrations

Sources

  1. 1Spur | AI QA Testing & Test Automation · Official website · Spur · retrieved 2026-09-26

    Supports 67 claims, high confidence · verified 2026-09-26

    • Adapts to UI changes
    • AI executes the app
    • AI generates code only
    • Audience
    • Audit logs
    • Authoring method
    • Autonomous exploration
    • Browser extension testing
    • Certifications
    • CI execution
    • Code authoring
    • Company size
    • Configurable retention
    • Cross-platform testing
    • Customer data used for training
    • Data regions
    • Data residency
    • Debug artifacts
    • Deployment
    • Execution model
    • Free tier
    • GitHub PR checks
    • Languages
    • License
    • License identifiers
    • Local execution
    • Maintenance approach
    • Max concurrency
    • Merge gating
    • Native desktop testing
    • Native mobile testing
    • Natural language authoring
    • OAuth testing
    • On-premises deployment
    • Parallel execution
    • Parameterized tests
    • Pricing
    • Pricing models
    • Private network access
    • Private runners
    • Product kind
    • Product status
    • RBAC
    • Real device testing
    • Recorder
    • Runner OS
    • SCIM
    • Secrets management
    • Selector-free execution
    • Setup difficulty
    • SSO (OIDC)
    • SSO (SAML)
    • Summary
    • Support channels
    • Support SLA
    • Target OS
    • Targets
    • Test import
    • Testing types
    • Tool
    • Training opt-out
    • Trial
    • Use cases
    • Uses AI
    • Vendor
    • Video recording
    • Vision-based interaction

    How does pricing work?: Annual plans based on test-run volume - not per seat, so your whole team (QA, PMs, engineers) can use Spur.

    Does Spur test native mobile apps?: Tests are written once in natural language and run across web, iOS, and Android. | Can we import our existing test cases?: Yes - Spur imports from test management tools (e.g., qTest, Zephyr) and converts cases to runnable tests in minutes.

    Is Spur SOC 2 compliant?: Yes, Spur is SOC 2 Type 2 compliant.

    Tests are written in natural language.

    Customers with real applications: Enterprises that work with Spur, ship at the speed of generation

    How is our data handled?: Configurable data retention and deletion policies, continuous vulnerability scanning and pen-testing, 99.9% uptime with multi-region redundancy.

    Context from where work lives.: Logs, network, screenshots. | How do you prevent false positives?: Every run produces full video playback and step-level evidence, so you can see exactly what the agent saw.

    Does Spur need access to our codebase?: No. Spur tests from the outside, like a real user. You provide a URL (and a build file for native apps).

    How is Spur different from Selenium, Playwright, or record-and-play tools?: Spur's agents execute intent - "add a medium black legging to cart and check out" - so tests survive redesigns, A/B tests, and daily merchandising changes.

    How does pricing work?: Book a demo for a quote tailored to your release cadence.

    Does Spur test native mobile apps?: Tests are written once in natural language and run across web, iOS, and Android.

    Who maintains tests when our site changes?: Mostly no one - intent-based tests adapt. When something does need updating, it's a plain-English edit, and our team helps.

    How does pricing work?: Plans include parallel execution and support.

    How does pricing work?: Annual plans based on test-run volume - not per seat, so your whole team (QA, PMs, engineers) can use Spur. Plans include parallel execution and support. Book a demo for a quote tailored to your release cadence.

    title: Spur | AI QA Testing & Test Automation

    Contrasts itself with record-and-play tools.

    title: Spur | AI QA Testing & Test Automation | Does Spur test native mobile apps?: Yes - iOS and Android, using your build file. Tests are written once in natural language and run across web, iOS, and Android.

    What kind of support do you offer?: Every customer gets a dedicated Slack Connect channel with our team. Plans include unlimited test-creation support, and higher tiers include full test management. | Where can I find documentation and guides?: You can follow step‑by‑step guides in our docs to write your first tests | FAQ: Did we miss a question? Email us directly

    How is our data handled?: 99.9% uptime with multi-region redundancy.

    Does Spur test native mobile apps?: Yes - iOS and Android, using your build file.

    Does Spur test native mobile apps?: Yes - iOS and Android, using your build file. Tests are written once in natural language and run across web, iOS, and Android.

    Does Spur test native mobile apps?: Yes - iOS and Android, using your build file. Tests are written once in natural language and run across web, iOS, and Android. | Functional Testing: Functional Testing | Exploratory Testing: Exploratory Testing

    Which CI/CD tools do you support?: You can run Spur tests as part of your GitHub workflows (for example, on each pull request) and use status checks to block merges when tests fail

    Not explicitly stated if it uses vision or DOM.

  2. 2Manual Runs - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 10 claims · Vendor documented, high confidence · verified 2026-09-26

    • Automatic retries
    • Browser engines
    • Browsers
    • Cross-browser testing
    • Device modes
    • Headed execution
    • Headless execution
    • Network mocking
    • Secrets injection
    • Test sharding

    Browsers (web tests): Browsers (web tests)

    Viewports (web tests): Viewports (web tests)

  3. 3Scenario Tables - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 1 claim · verified 2026-09-26

    • Reusable steps
  4. 4AI Test Generation - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 3 claims · verified 2026-09-26

    • AI test generation
    • Test data generation
    • Uses AI
  5. 5Spur AI - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 3 claims · verified 2026-09-26

    • AI failure analysis
    • Self-healing
    • Uses AI
  6. 6Spur MCP Integration - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 2 claims · Vendor documented, high confidence · verified 2026-09-26

    • Interfaces
    • MCP server

    Spur MCP Integration: Spur MCP Integration

  7. 7MCP Setup - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 3 claims · verified 2026-09-26

    • MCP server
    • SDK
    • VS Code extension

    Uses MCP via GitHub Copilot in VS Code, not a dedicated extension.

  8. 8Integrations Overview - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 1 claim · Vendor documented, high confidence · verified 2026-09-26

    • Integrations

    Issue Tracking & Bug Reporting: Jira | Issue Tracking & Bug Reporting: Linear | Issue Tracking & Bug Reporting: Azure DevOps | Communication & Notifications: Slack | Development Workflows: GitHub | Development Workflows: GitLab

  9. 9GitHub - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 1 claim · verified 2026-09-26

    • GitHub
  10. 10GitHub Agent - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 3 claims · verified 2026-09-26

    • Autonomous PR validation
    • PR comments
    • PR-aware test selection
  11. 11Override URLs - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 1 claim · verified 2026-09-26

    • Preview deployment testing
  12. 12GitLab - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 1 claim · verified 2026-09-26

    • Scheduled execution
  13. 13Web Prompting Guide - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 17 claims · verified 2026-09-26

    • Accessibility checks
    • API assertions
    • Canvas testing
    • Dark and light mode testing
    • Database assertions
    • Email testing
    • File download testing
    • File upload testing
    • iframe testing
    • Multi-tab testing
    • Notification testing
    • PDF validation
    • Performance measurement
    • Semantic visual assertions
    • Spelling and grammar checks
    • Video content validation
    • Visual regression
  14. 14Mobile Prompting Guide - Spur Documentation · Official docs · Spur · retrieved 2026-09-26

    Supports 2 claims · Vendor documented, high confidence · verified 2026-09-26

    • Auto-waiting
    • Reliability mechanisms

    Supported Actions: Wait

  15. 15MCP for AI-Powered QA & Test Automation | Spur · Official website · Spur · retrieved 2026-09-26

    Supports 8 claims · Vendor documented, high confidence · verified 2026-09-26

    • Console logs
    • Debug artifacts
    • Execution traces
    • Failure grouping
    • Interactive debugging
    • Network logs
    • Replay
    • Screenshots

    Context from where work lives.: Logs, network, screenshots. | How do you prevent false positives?: Every run produces full video playback and step-level evidence, so you can see exactly what the agent saw.