Release Health MCP Server
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Alternatives to Release Health MCP Server
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- AlicenseAqualityBmaintenanceEnables AI assistants to query the Google Play Developer Reporting API for Android production stability data, including crash and ANR issue clusters, de-obfuscated stack traces, release track discovery, startup and crash metric trends, version-to-version comparisons, and anomaly alerts. It also provides guided prompts for incident triage, baseline profile verification, and weekly stability reporting with built-in token compression and caching.10MIT
- AlicenseAqualityBmaintenanceProvides AI assistants with token-efficient access to Google Play Android Vitals, enabling them to diagnose ANRs, track crashes, analyze startup performance, and compare app versions for release optimizations.1019MIT
- AlicenseAqualityBmaintenanceEnables AI agents to manage Google Play Console reviews and Android app releases, including replying to reviews, promoting releases, managing staged rollouts, and checking crash/ANR vitals.4446 npm2MIT
- FlicenseBqualityCmaintenanceEnables AI agents to manage Google Play apps with scope-based permissions, including publishing internal releases, updating listings, replying to reviews, and promoting to production.118 npm-
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TDQS
Scored across 5 tools
The tools mostly target distinct questions: listing releases, health metrics, top crashes, new regressions, and rollout advice. The only mild overlap is between top_crashes and new_issues, since both surface crash/ANR issues, but their ranking and regression framing help distinguish them.
Three tools follow a clear verb_noun pattern: recommend_rollout, list_releases, and get_release_health. top_crashes and new_issues do not use the same imperative-verb convention, making the set readable but not fully consistent.
Five tools is well-scoped for a release-health advisory server. Each tool covers a meaningful part of the workflow without excessive surface area.
The set covers release listing, health metrics, top issues, new regressions, and rollout recommendation, which is strong coverage for an advisory release-health domain. Minor gaps may exist around deeper release/track detail or historical trends, but core workflows are supported.