# Nvidia Brev

> Use this tool when you need to manage Brev cloud resources and automate workflows using natural language commands. It solves problems related to streamlining Brev workflows, automating cloud resource management, and integrating AI-assisted operations into existing projects. The tool takes natural language inputs and outputs managed Brev workspaces, deployments, and other cloud resources, making it ideal for developers and DevOps teams working within the Brev ecosystem.

Canonical page: https://skillsregistry.net/skills/brevdev-brev  
JSON: https://api.skillsregistry.net/v1/skills/brevdev-brev

## Description

This Brev MCP server implementation, developed by tmonty12, provides a bridge between the Model Context Protocol and Brev's cloud development platform. It enables AI assistants to interact with Brev resources and operations through natural language commands. Built with Python 3.10+ and leveraging the Brev CLI's authentication, it offers functionality for managing Brev workspaces, deployments, and other cloud resources. The implementation stands out by focusing specifically on Brev's ecosystem and tooling. It is particularly useful for developers and DevOps teams looking to streamline their Brev workflows, automate cloud resource management, or integrate AI-assisted operations into their existing Brev-based projects.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/brevdev-brev)
- **Repository:** <https://github.com/brevdev/brev-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": "brevdev-brev"
    }
  }
}
```

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