How do I install Pare?

Pare is a local plugin. Install it using npm package: @paretools/docker and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What AI apps work with Pare?

Pare uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Pare

by Dave London

Cloud & DevOpsModerate5.5MCP RegistryLocal

Free

Server data from the Official MCP Registry

Structured Docker operations (ps, images, logs, build) as typed JSON.

About

Structured Docker operations (ps, images, logs, build) as typed JSON.

Unverified package source

We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-dave-london-docker": {
      "args": [
        "-y",
        "pare"
      ],
      "command": "npx"
    }
  }
}

Security Report

5.5

Moderate5.5Moderate Risk

Well-structured MCP server collection for dev tools with proper security practices. Uses environment variables for configuration, implements input validation to prevent command injection, and permissions align with stated Cloud & DevOps category purpose. Supply chain analysis found 6 known vulnerabilities in dependencies (1 critical, 3 high severity). Package verification found 1 issue (1 critical, 0 high severity).

Scanned 4 files · 9 findings

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

process_spawn

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

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