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salad_mcp

Manage GPU workloads on SaladCloud, including container groups and inference endpoints. Operate queues, jobs, logs, and quotas to run and monitor deployments. Check CPU/GPU availability to plan capacity and scale efficiently.

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Salad MCP Server

A Model Context Protocol (MCP) server for SaladCloud - the GPU provider with super nice features!

This MCP server provides seamless integration with SaladCloud's API, enabling Claude and other MCP clients to manage GPU workloads, container groups, inference endpoints, and more.

Features

Container Groups Management: Create, list, update, start, stop, and delete container groups
Inference Endpoints: List and manage inference endpoints
Queue Operations: Manage message queues for async workload processing
Logs & Monitoring: Access system logs and workload errors
Quotas: Check organization resource quotas
LLM-as-Judge Auto-Eval: Comprehensive integration testing using Claude API

Installation

Quick Start (Recommended)

Use npx to run without installation:

npx salad-mcp-server

Via Smithery

To install with Smithery:

npx -y @smithery/cli install salad-mcp-server --client claude

From npm

npm install -g salad-mcp-server
salad-mcp-server

From Source

npm install
npm run build

Configuration

Set your SaladCloud API key as an environment variable:

export SALAD_API_KEY=your_api_key_here
export SALAD_ORG_NAME=your_organization_name

For auto-eval testing, also set:

export CLAUDE_API_KEY=your_claude_api_key_here

Usage

As MCP Server

Add to your MCP client configuration (e.g., Claude Desktop):

Using npx (recommended):

{
  "mcpServers": {
    "salad": {
      "command": "npx",
      "args": ["salad-mcp-server"],
      "env": {
        "SALAD_API_KEY": "your_api_key_here",
        "SALAD_ORG_NAME": "your_organization_name"
      }
    }
  }
}

Using local installation:

{
  "mcpServers": {
    "salad": {
      "command": "node",
      "args": ["/path/to/salad_mcp/dist/index.js"],
      "env": {
        "SALAD_API_KEY": "your_api_key_here",
        "SALAD_ORG_NAME": "your_organization_name"
      }
    }
  }
}

Run Auto-Eval CLI

Test the full integration with LLM-as-judge evaluation:

npm run eval

Run Integration Tests

npm test

Available Tools

list_container_groups: List all container groups in an organization/project
get_container_group: Get details of a specific container group
create_container_group: Create a new container group
update_container_group: Update an existing container group
start_container_group: Start a container group
stop_container_group: Stop a container group
delete_container_group: Delete a container group
list_inference_endpoints: List available inference endpoints
get_quotas: Get organization resource quotas
list_queues: List message queues
create_queue: Create a new message queue
get_queue: Get queue details
delete_queue: Delete a queue