coolify-mcp
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TDQS
Scored across 136 tools
The resource-prefixed tool families (application/service/database/server) are mostly distinct, but several tools overlap or are inconsistently qualified. For example, coolify_get_logs and coolify_list_envs apply specifically to applications while database/service variants are explicitly named, and backup/storage/import tools across resources can be confused. An agent can usually infer intent, but the volume of parallel triplets creates real misselection risk.
The overwhelming majority of tools follow a predictable coolify_verb_noun pattern in snake_case, with clear resource qualifiers like coolify_list_application_scheduled_tasks. Minor deviations exist, such as coolify_healthcheck, coolify_get_logs, and coolify_trigger_deploy, which are less structurally consistent than the rest.
136 tools is far too many for practical agent selection, even for a broad platform like Coolify. Many operations are repeated across applications, services, and databases in parallel triplets, and consolidation into resource-scoped or parameterized tools would substantially reduce the surface.
The surface covers lifecycle operations across applications, databases, services, servers, projects, environments, storages, backups, deployments, previews, scheduled tasks, GitHub Apps, registries, teams, private keys, and instance settings. CRUD, start/stop/restart, logs, backup/import, and deployment control are all represented, leaving no obvious dead ends.