psr-cloud-mcp 0.1.0

MCP server for PSR Cloud HPC model automation

PSR Cloud MCP Server

MCP server that exposes PSR Cloud HPC operations as AI tools, built on top of pycloud (psr-cloud on PyPI).

Prerequisites

1. Python 3.10+
2. A Personal Access Token from PSR Cloud:
   • Go to sso.psr-inc.com/profile
   • Log in with your corporate PSR Google account
   • Generate a token under PSR Cloud — Personal Access Tokens
   • Save the token value (shown only once)

Installation

Option A — from the Git repository

pip install git+https://github.com/your-org/psr-cloud-mcp.git

This installs the psr-cloud-mcp CLI and pulls psr-cloud from PyPI automatically.

Option B — from a local clone (development)

git clone https://github.com/your-org/psr-cloud-mcp.git
cd psr-cloud-mcp
pip install -e .

Option C — from PyPI (once published)

pip install psr-cloud-mcp

Authentication

Set two environment variables before starting the server:

export PSR_CLOUD_EMAIL=[e-mail]
export PSR_CLOUD_ACCESS_TOKEN=<your-token>

On Windows:

$env:PSR_CLOUD_EMAIL = "[e-mail]"
$env:PSR_CLOUD_ACCESS_TOKEN = "<your-token>"

Running the server

# directly
python -m psr.cloudmcp

# or via the installed script
psr-cloud-mcp

# or via the MCP CLI
mcp run psr/cloudmcp/server.py

Configuring Claude Code

Add to ~/.claude/settings.json (or settings.local.json for local-only):

{
  "mcpServers": {
    "psr-cloud": {
      "command": "psr-cloud-mcp",
      "env": {
        "PSR_CLOUD_EMAIL": "[e-mail]",
        "PSR_CLOUD_ACCESS_TOKEN": "<your-token>"
      }
    }
  }
}

If you prefer not to store the token in the config file, omit the env block and set the variables in your shell profile instead.

Configuring Claude Desktop

Open the Claude Desktop config file:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Add the psr-cloud entry under mcpServers:

{
  "mcpServers": {
    "psr-cloud": {
      "command": "psr-cloud-mcp",
      "env": {
        "PSR_CLOUD_EMAIL": "[e-mail]",
        "PSR_CLOUD_ACCESS_TOKEN": "<your-token>"
      }
    }
  }
}

If psr-cloud-mcp is not on the system PATH (common on Windows), use the full path to the executable:

{
  "mcpServers": {
    "psr-cloud": {
      "command": "C:\\Users\\<user>\\AppData\\Local\\Programs\\Python\\Python3xx\\Scripts\\psr-cloud-mcp.exe",
      "env": {
        "PSR_CLOUD_EMAIL": "[e-mail]",
        "PSR_CLOUD_ACCESS_TOKEN": "<your-token>"
      }
    }
  }
}

To find the exact executable path, run:

where.exe psr-cloud-mcp

After saving the file, restart Claude Desktop. The PSR Cloud tools will appear in the tools panel (hammer icon).

Available tools

Tool	Description
list_cases	List cases from the last N days
get_cases	Get details for specific case IDs
get_case_status	Poll execution status of a case
get_case_log	Retrieve execution log text
list_download_files	List result files available for a case
run_case	Submit a new model run
cancel_case	Cancel a running or queued case
download_results	Download result files to a local path
get_programs	List available programs (SDDP, OPTGEN, …)
get_program_versions	List versions for a program
get_execution_types	List execution types for a program + version
get_memory_per_process_ratios	List valid memory ratio strings

Typical AI workflow

get_programs()
  → get_program_versions("SDDP")
  → get_execution_types("SDDP", "18.0")
  → run_case(name="my-run", data_path="/path/to/data", program="SDDP", ...)
  → get_case_status(case_id)   # poll until SUCCESS
  → list_download_files(case_id)
  → download_results(case_id, output_path="/path/to/results")