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Security · MCP server

Cloud audit: MCP server, setup and security

Cloud audit is an open-source MCP server published on GitHub that lets an AI agent scan AWS security and obtain CLI and Terraform remediation snippets. Its repository has 73 stars and its last commit is from October 14, 2026 and it is licensed under MIT.

Score
69/100
Adoption (stars) 19/40
Maintenance 30/30
Framework (licence, registry, official) 20/30
Actively maintained

What Cloud audit does

According to its repository: “AWS security scanner with attack chain detection, breach cost estimation and remediation snippets for CLI and Terraform.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Cloud audit is listed under Security, a category of 133 servers in the directory, where it ranks #38 by stars.

Topics declared by the repository: audit, aws, cli, cloud-security, compliance, devops.

Installing and connecting Cloud audit

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Cloud audit. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 3, 2026, the gebalamariusz/cloud-audit repository has 73 stars and 12 forks, with 5 open issues. It has more stars than 60% of the servers in the directory. It received changes this month. Version published in the registry: 2.0.1 (April 17, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

World MonitorWorld Monitor : 89.4K89.4KSemgrepSemgrep : 17.2K17.2KIda pro MCPIda pro MCP : 13.1K13.1KGhidraMCP (LaurieWired)GhidraMCP (LaurieWired) : 11.5K11.5KRobin: AI Powered Dark Web ORobin: AI Powered Dark Web O : 7.7K7.7KJadx ai MCPJadx ai MCP : 2.9K2.9KPower BI Authoring MCP ServePower BI Authoring MCP Serve : 1.2K1.2KSafeDep Vet MCPSafeDep Vet MCP : 1.1K1.1KCloud auditCloud audit : 7373
GitHub stars of the most followed servers in the category (log scale); Cloud audit in orange. Checked October 25, 2026.

Verdict

Cloud audit is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Frequently asked questions

How do I install Cloud audit?

Cloud audit is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of gebalamariusz/cloud-audit.

Is Cloud audit free?

The code is published under the MIT licence and can be used free of charge.

Is Cloud audit safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by gebalamariusz on GitHub. Check who maintains it before giving it access.

What are the alternatives to Cloud audit?

In the same category: Semgrep, World Monitor, SafeDep Vet MCP, and Ida pro MCP. Semgrep and World Monitor score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score