Nvidia Brev
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/brevdev/brev-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Nvidia Brev from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.