A
licenseA
qualityD
maintenanceSimulates real users navigating your app and delivers qualitative UX feedback, including persona-driven testing, auto-friction detection, and WCAG accessibility audits.
14
22 npm
2
MIT
Stunt Double
Server Details
Deploy AI user personas to validate user journeys at scale. Find UX friction before real users do.
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- Status
- Unhealthy
- Uptime
- 0.0% over 76 days
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- stunt-double/stuntdouble-mcp
- GitHub Stars
- 1
- Server Listing
- stuntdouble-mcp
TDQS
B3.1/5.0
Scored across 67 tools
Disambiguation4/5
Tools are mostly distinct resource/action pairs, and the lengthy descriptions clarify overlaps. Minor potential confusion remains among guideline/knowledge tools and `search` versus the many `list_*` getters, but no two tools appear to do the same thing.
Naming Consistency4/5
Nearly all names use snake_case with a verb-first pattern, making the set predictable. Deviations like `comment_on_pr` and the bare `search` are minor but keep this from being perfect.
Tool Count1/5
67 tools is far beyond the 3-15 sweet spot and past the 25+ threshold for being too many. Even across many subdomains, the surface is unwieldy and would be difficult for an agent to navigate efficiently.
Completeness3/5
Core testing entities like actors, checklists, interviews, and workflows have strong lifecycle coverage. However, projects lack update/delete operations, interviews lack delete, and some other entities have no create/delete paths, leaving notable gaps.
Publisher details
- Operator
- Stunt Double · Publisher source
- Operator website
- https://stuntdouble.io
- Vendor relationship
- First-party · Publisher source
- Documentation
- https://www.stuntdouble.io/support/docs/api/mcp
- Trust center
- https://stuntdouble.io/security
- Restrictions
- https://www.stuntdouble.io/pricing
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