# AgentMetal

> Use this tool when you need to automate the deployment and management of Linux VPS servers for autonomous AI agents, solving infrastructure provisioning and management problems. AgentMetal enables agents to discover, purchase, and manage servers without human intervention, accepting USDC payments and providing secure SSH command execution and spend controls. Ideal for use cases requiring end-to-end autonomous infrastructure workflows, AgentMetal streamlines server lifecycle management.

Canonical page: https://skillsregistry.net/skills/agentmetal  
JSON: https://api.skillsregistry.net/v1/skills/agentmetal

## Description

AgentMetal is a cloud infrastructure platform built for autonomous AI agents, enabling them to discover, purchase, provision, and manage Linux VPS servers without human intervention. Agents can browse server catalogs, pay via USDC through the x402 protocol, execute commands over SSH, and manage server lifecycles including renewal. Built-in spend controls and managed keypair generation support secure end-to-end autonomous infrastructure workflows.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentmetal)
- **Repository:** <https://github.com/agentmetal/mcp>

## 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": "agentmetal"
    }
  }
}
```

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