A comprehensive Model Context Protocol server that exposes the Arcane Docker Management API to AI assistants like Claude. 165+ tools covering containers, images, volumes, networks, Docker Compose stacks, Swarm clusters, vulnerability scanning, GitOps, and more.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"arcane-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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A comprehensive Model Context Protocol server that exposes the Arcane Docker Management API to AI assistants like Claude. 165+ tools covering containers, images, volumes, networks, Docker Compose stacks, Swarm clusters, vulnerability scanning, GitOps, and more.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Manage your entire Docker infrastructure through natural language.
180 tools. One MCP server. Zero context switching.
Getting Started • What Can It Do • Companion Skill • All Tools • Interactive Installer
Note: This is an independent, community-built project. It is not affiliated with, endorsed by, or maintained by the Arcane project or its maintainers. We build on top of Arcane's public API.
Coming from Portainer? Check out Portainer-Offload-Arcane — a guided migration wizard that moves your stacks, containers, volumes, registries, and users from Portainer CE/EE into Arcane. Run it once, then come back here to manage everything via natural language.
Arcane MCP Server is a complete AI-powered Docker management bundle — an MCP server, a Claude Code plugin, and a companion skill, all in one package.
Instead of clicking through dashboards and running CLI commands, you just talk to your infrastructure:
"What's running on production?"
"Deploy this compose file to staging."
"Are any images vulnerable? Show me the critical ones."
"Scale the API service to 5 replicas."
Behind the scenes, the server translates your requests into the right API calls — with safety checks, retry logic, and formatted responses that actually make sense.
| Without | With Arcane MCP Server | |
|---|---|---|
| Check container status | Open dashboard, navigate to environment, filter, scroll | "What's broken?" |
| Deploy a stack | Write compose, scp to server, ssh, docker compose up | "Deploy this compose file" |
| Find vulnerabilities | Configure Trivy, run scan, parse JSON output | "Run a security audit" |
| Update containers | Check each image, pull, recreate, verify | "Update everything" (dry-run first, obviously) |
| Clean up disk space | Prune images, volumes, networks one by one | "Clean up unused resources" |
Every tool carries safety annotations so your AI knows which operations are read-only and which ones need confirmation before running. No accidental docker system prune moments.
The fastest way — paste this into Claude Code:
Fetch and follow: https://raw.githubusercontent.com/Random
... [View full README on GitHub](https://github.com/RandomSynergy17/Arcane-MCP-Server#readme)