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Deploy local apps, add managed Postgres, and inspect logs from your AI coding agent.

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Status
Unhealthy
Uptime
0.2% over 22 days
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

B3.2/5.0

Scored across 66 tools

Disambiguation4/5

Tools are namespaced by resource (databases.*, deployments.*, storage.*, resources.*) with distinct actions, making most purposes clear. Some overlap exists between the generic resources.* lifecycle tools and the specialized deployments.* tools, and resources.configure vs resources.env.configure could occasionally be confused, but descriptions largely disambiguate.

Naming Consistency4/5

Strong consistent resource.action pattern throughout (databases.backups.configure, storage.objects.sign, deployments.release.run). Minor deviations appear in multi-segment names like analysis.source.get or sources.github.connection.get, but the overall convention is predictable and readable.

Tool Count2/5

66 tools is heavy for a single server and pushes well past the comfortable 3-15 range. While the platform domain (deployments, databases, storage, workspaces) is genuinely broad, the surface could likely be consolidated (e.g. many fine-grained backup/restore/deletion sub-tools).

Completeness5/5

Coverage is remarkably thorough: full lifecycle for apps, deployments, databases (backups, restores, pools, public access, storage), storage buckets/credentials/objects, validated sources, metrics/logs, and a staged deletion workflow. No obvious dead ends for the stated infrastructure-orchestration purpose.

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