# Vast.ai MCP Server

> Use this tool when you need to manage and optimize your GPU cloud instances for machine learning training workflows. It provides a comprehensive interface for searching GPU offers, creating and managing instances, executing remote commands, and monitoring background tasks. Ideal for use cases requiring scalable and efficient ML training infrastructure, this tool streamlines instance management and automation.

Canonical page: https://skillsregistry.net/skills/crydevok-vastai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/crydevok-vastai-mcp

## Description

Enables comprehensive management of Vast.ai GPU cloud instances, including searching for GPU offers, creating and managing instances, executing remote commands via SSH, and monitoring background tasks for ML training workflows.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o8kgiv57ai)
- **Repository:** <https://github.com/CryDevOk/vastai-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": "crydevok-vastai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crydevok-vastai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crydevok-vastai-mcp/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