# machinepal

> machinepal — skalenetwork-machinepal. Use this tool when you need to deploy and manage AI agents and services in a cloud-native environment, optimizing costs and monetizing your investments. Machinepal provides a gateway to run and manage AI workloads, accepting inputs from git repositories and outputting optimized AI services. It solves problems related to AI cost management and service deployment, ideal for use cases involving large-scale AI implementation and cost optimization.

Canonical page: https://skillsregistry.net/skills/skalenetwork-machinepal  
JSON: https://api.skillsregistry.net/v1/skills/skalenetwork-machinepal

## Description

The Cloud-Native MCP and X402 Gateway to Run and Monetize your AI Agents and Services, as well as optimize your AI costs

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/skalenetwork/machinepal)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "skalenetwork-machinepal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/skalenetwork-machinepal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/skalenetwork-machinepal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt