devicecloud-mcp
Related Servers
Alternatives to devicecloud-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceEnables AI-powered screenshot capture and UX/UI analysis of iOS simulators and Android emulators directly from your IDE.3142MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI models (Claude, ChatGPT, GitHub Copilot) to run and analyze local tests, rerun failures, and orchestrate QA workflows using existing UI and API test frameworks.21MIT

Sauce Labs MCP Serverofficial
AlicenseAqualityBmaintenanceEnables AI assistants to interact with Sauce Labs testing platform through natural language, providing access to device cloud management, test job analysis, build monitoring, and testing infrastructure insights. Supports both Virtual Device Cloud (VDC) and Real Device Cloud (RDC) with comprehensive test analytics and team collaboration features.3410Apache 2.0- AlicenseNot gradedqualityAmaintenanceEnables mobile device management, app upload, automation session execution, and test result viewing through the Kobiton platform, integrated with AI coding assistants.18712MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.16212MIT
- AlicenseBqualityBmaintenanceSupercharges AI-assisted debugging of Playwright tests by parsing trace files to extract failures, action history, network logs, screenshots, and suggesting fixes.614MIT
TDQS
Scored across 10 tools
Each tool targets a distinct aspect of DeviceCloud workflows: run triage, suite health, upload listing, status, results, reports, artifact download, analytics, and flow history. Detailed descriptions clearly differentiate their purposes, with no overlap.
Most tools follow a consistent verb_noun pattern (e.g., list_uploads, get_upload_status, download_artifacts). The outlier suite_health uses a noun_noun format, which slightly breaks the pattern but remains readable.
With 10 tools, the surface is well-scoped for a CI debugging and monitoring server. Each tool serves a clear and necessary function, covering key operations without redundancy or excess.
The tool set provides comprehensive coverage for diagnosing and analyzing Maestro test runs: from high-level health to per-run artifacts and historical analytics. No obvious gaps exist for typical debugging workflows.