Arcane MCP
Related Servers
Alternatives to Arcane MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables managing Docker environments through Arcane via natural language, providing tools for containers, images, volumes, networks, and Docker Compose stacks.MIT
- AlicenseCqualityDmaintenanceExposes Arcane Docker management capabilities to AI agents, covering containers, images, volumes, networks, Compose projects, registries, vulnerability scanning, and more with 123 tools across 13 modules.1001MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Docker containers and images, including starting, stopping, listing, and building operations.2-
- AlicenseNot gradedqualityAmaintenanceAI-powered Docker management server that enables natural language control of environments, containers, images, networks, volumes, and more through a unified Arcane API interface.2MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Docker containers, images, networks, volumes, and Compose services through the Model Context Protocol. It supports system operations, command execution within containers, and integration with Docker Hub and GitHub Container Registry.61 npm2MIT
- AlicenseAqualityCmaintenanceDocker container, image, volume, network, and compose management from your AI assistant.10169 npm3MIT
TDQS
Scored across 52 tools
Each tool targets a distinct resource-action combination, with clear separation across environments, containers, images, volumes, networks, projects, and system operations. Even similar prune operations are differentiated by the resource type (images, volumes, networks, system).
All 52 tools follow the exact pattern 'arcane_<verb>_<noun>' in lowercase snake_case, with verbs always placed first (e.g., list, get, create, update, delete, start, stop, prune). No mixed styles or inconsistent verb usage.
At 52 tools, the count is high and exceeds typical thresholds, but the server's scope is broad, covering full lifecycle management for multiple resource types. The number feels heavy but justified; some consolidation could reduce it without losing functionality.
The tool surface provides robust CRUD and lifecycle coverage for all major resource types, including specialized features like volume backups and file browsing. Minor gaps exist (e.g., container logs, network connect), but these do not hinder core container management workflows.