# Novita AI GPU Cloud

> Use this tool when you need to manage and deploy GPU-accelerated workloads and containers, or require direct access to a cloud infrastructure for AI applications. It solves problems related to workload deployment, monitoring, and management, and provides a TypeScript interface for interacting with the Novita platform. The tool takes environment variables and stdio inputs, and outputs managed GPU instances and container registry authentication.

Canonical page: https://skillsregistry.net/skills/novitalabs-gpu-cloud  
JSON: https://api.skillsregistry.net/v1/skills/novitalabs-gpu-cloud

## Description

The Novita MCP server provides AI assistants with direct access to Novita AI's GPU cloud infrastructure through a TypeScript implementation. It exposes tools for managing GPU instances, network storage, container registry authentication, and templates on the Novita platform. The server communicates via stdio using the Model Context Protocol SDK, authenticates with the Novita API using environment variables, and handles sensitive information removal from responses. This implementation is particularly valuable for users who need to deploy, monitor, and manage GPU-accelerated workloads and containers without leaving their conversation context.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/novitalabs-gpu-cloud)
- **Repository:** <https://github.com/novitalabs/novita-mcp-server>

## 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": "novitalabs-gpu-cloud"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/novitalabs-gpu-cloud` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/novitalabs-gpu-cloud/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