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Security · MCP server

Cmdxray: MCP server, setup and security

Cmdxray is an open-source MCP server that lets an AI agent assess shell command risks and explain flags pipes redirects and subshells. Its repository has 5 stars and its last commit is from September 23, 2026 and it is licensed under MIT.

Actively maintained

What Cmdxray does

According to its repository: “Offline safety gate for agent shell commands: rates each command as danger, caution or none and explains every flag, pipe, redirect and subshell.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Cmdxray is listed under Security, a category of 133 servers in the directory, where it ranks #115 by stars.

Topics declared by the repository: bash, cli, command-line, developer-tools, documentation, explainshell.

Installing and connecting Cmdxray

Distribution modes declared in the official MCP registry:

  • npm package (Node.js, usually started with npx)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: TypeScript. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Cmdxray. 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 September 2, 2026, the aurelio-nakamura/cmdxray repository has 5 stars and 0 forks, with 0 open issues. It has more stars than 13% of the servers in the directory. Last change 1 month ago. Version published in the registry: 0.26.1 (September 19, 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 : 1.1K1.1KCmdxrayCmdxray : 55
GitHub stars of the most followed servers in the category (log scale); Cmdxray in orange. Checked October 25, 2026.

Verdict

Cmdxray 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)

Limitations

  • Few visible users

Frequently asked questions

How do I install Cmdxray?

Cmdxray is distributed as npm package (Node.js, usually started with npx). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of aurelio-nakamura/cmdxray.

Is Cmdxray free?

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

Is Cmdxray 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 aurelio-nakamura on GitHub. Check who maintains it before giving it access.

What are the alternatives to Cmdxray?

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