# Nebius MCP Server

> Use this tool when you need to manage cloud resources through natural language interactions, enabling AI agents to fetch documentation and execute CLI commands for tasks like provisioning compute instances and storage buckets. It solves problems related to cloud resource management, automation, and documentation retrieval. The tool accepts natural language inputs and outputs execution results, making it ideal for use cases where efficient cloud management is required.

Canonical page: https://skillsregistry.net/skills/nebius-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nebius-mcp-server

## Description

Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e1kg1aaicc)
- **Repository:** <https://github.com/nebius/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": "nebius-mcp-server"
    }
  }
}
```

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