slurm-mcp-server

A zero-dependency MCP server for SLURM HPC clusters. Single file, npx-ready.

Highlights

• Single file, zero config — npx slurm-mcp-server and you're done
• TTY-aware job watching — each terminal window tracks its own jobs, no cross-talk
• Command Guard — blocks 7 categories of SSH escape traps that silently corrupt commands
• Desktop notifications — native alerts on macOS and Linux when jobs finish
• Resource waste prevention — checks historical usage before submitting, warns on over-allocation
• No Docker required — runs directly on your machine via SSH

Quick Start (3 steps)

1. Set environment variables

export HPC_HOST=your-cluster        # SSH host alias or hostname
export HPC_USER=your-username       # Your cluster username
export SLURM_ACCOUNT=your-account   # SLURM account/allocation
# Optional:
export HPC_PREAMBLE='module load python/3.11\nconda activate myenv'

2. Add to your MCP client

{
  "mcpServers": {
    "hpc": {
      "command": "npx",
      "args": ["-y", "slurm-mcp-server"],
      "env": {
        "HPC_HOST": "your-cluster",
        "HPC_USER": "your-username",
        "SLURM_ACCOUNT": "your-account"
      }
    }
  }
}

{
  "mcpServers": {
    "hpc": {
      "command": "npx",
      "args": ["-y", "slurm-mcp-server"],
      "env": {
        "HPC_HOST": "your-cluster",
        "HPC_USER": "your-username",
        "SLURM_ACCOUNT": "your-account"
      }
    }
  }
}

{
  "mcpServers": {
    "hpc": {
      "command": "npx",
      "args": ["-y", "slurm-mcp-server"],
      "env": {
        "HPC_HOST": "your-cluster",
        "HPC_USER": "your-username",
        "SLURM_ACCOUNT": "your-account"
      }
    }
  }
}

3. Restart your client

That's it. SSH ControlMaster is recommended for persistent connections.

Features

🖥️ TTY-Aware Job Watching

Each terminal window tracks its own SLURM jobs independently. No cross-talk between windows. Automatic 30-second polling with state change detection.

🛡️ Command Guard

Prevents 7 categories of SSH escape traps that silently corrupt commands:

• Heredocs, python -c, multi-line commands
• Quotes (single & double), grep/awk/sed patterns
• Commands over 500 characters

🔔 Desktop Notifications

Job completion triggers native desktop notifications:

• macOS: osascript with sound
• Linux: notify-send

📊 Resource Check

Before submitting jobs, automatically queries sacct for historical resource usage of similar jobs. Warns when requested resources exceed 10× actual usage.

📁 Workdir Guard

Per-window working directory tracking prevents accidentally submitting jobs to wrong directories.

🌐 Multi-Cluster Support

Configure multiple clusters with comma-separated HPC_HOST. Switch between them with cluster_switch.

🔄 SSH Auto-Reconnect

Detects dropped SSH connections and automatically re-establishes ControlMaster before retrying the command.

📋 Job Templates

Save and reuse common SLURM configurations (partition, GPU count, memory, time). Apply with template: "my-template" on submit.

📊 Resource Report

Summarize your compute usage over any time period — total jobs, compute hours, GPU jobs, peak memory.

🪝 Webhook Notifications

Send job completion alerts to Slack, Discord, or any webhook endpoint via NOTIFY_WEBHOOK env var.

📄 Direct Script Submit

Submit existing .slurm/.sh files on the cluster without rebuilding the script locally.

🖥️ Interactive SSH

Start a tmux-based interactive SSH session for commands needing 2FA, confirmation prompts, or long-running monitoring.

Tools (25)

Environment Variables

SSH Setup

This server requires an active SSH connection. Recommended ~/.ssh/config:

Host mycluster
    HostName login.cluster.edu
    User yourusername
    ControlMaster auto
    ControlPath ~/.ssh/sockets/%r@%h-%p
    ControlPersist 12h

Create the socket directory: mkdir -p ~/.ssh/sockets

License

MIT