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Homebrew MCP: MCP server, setup and security

Homebrew MCP is an open-source MCP server published on GitHub that lets an AI agent manage macOS Homebrew packages and troubleshoot issues with brew commands. Its repository has 30 stars and its last commit is from June 23, 2025 and it is licensed under MIT.

Inactive for over a yearSystem access

What Homebrew MCP does

According to its repository: “Manage macOS Homebrew packages with natural language, get suggestions and troubleshoot brew issues.”

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. Homebrew MCP is listed under Files and documents, a category of 55 servers in the directory, where it ranks #36 by stars.

Installing and connecting Homebrew MCP

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

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.

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.

Points found for Homebrew MCP:

  • System access: the Files and documents category gives the agent control over files, a terminal, code or a browser. A booby-trapped instruction in content the agent reads (prompt injection) can then turn into an action.
  • Maintenance: no commit for 16 months. Possible flaws and protocol changes are no longer tracked.

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 May 23, 2025, the jeannier/homebrew-mcp repository has 30 stars and 10 forks, with 1 open issues. It has more stars than 45% of the servers in the directory. Last change 16 months ago.

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

MarkitdownMarkitdown : 191.9K191.9KPuterPuter : 43.9K43.9KFilestashFilestash : 14.8K14.8KRevoGrid DataGrid MCPRevoGrid DataGrid MCP : 3.5K3.5KDocling MCPDocling MCP : 777777MCP filesystem serverMCP filesystem server : 692692Haiku.ragHaiku.rag : 636636MuMu : 436436Homebrew MCPHomebrew MCP : 3030
GitHub stars of the most followed servers in the category (log scale); Homebrew MCP in orange. Checked October 25, 2026.

Verdict

Homebrew MCP is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Permissive licence (MIT)

Limitations

  • No commit for 16 months
  • Install from source

Avoid if…

  • You cannot isolate the agent (sandbox, container)
  • Production use without reviewing the code

Frequently asked questions

How do I install Homebrew MCP?

No package is declared in the MCP registry: clone the jeannier/homebrew-mcp repository, follow its README, then declare the start command in your client's MCP configuration.

Is Homebrew MCP free?

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

Is Homebrew MCP safe?

Points to watch: system access and maintenance. Give it minimum rights and approve sensitive actions.

Is it an official server?

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

What are the alternatives to Homebrew MCP?

In the same category: Markitdown, Puter, Filestash, and RevoGrid DataGrid MCP. Markitdown and Puter 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