francoisjosephlacroix

Rubber Duck MCP — AI skill for Claude Code

AI community

A rubber duck MCP server for your LLM coding agent.

How to install Rubber Duck MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open francoisjosephlacroix/rubber-duck-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Rubber Duck MCP does

A rubber duck MCP server for your LLM coding agent.

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README

Rubber Duck MCP Server

A Model Context Protocol (MCP) server that provides a rubber duck debugging tool for LLMs. This server allows LLMs to explain their code to a "rubber duck" without expecting any response, helping them organize their thoughts and debug more effectively.

Features

Silent Rubber Duck: A classic rubber duck debugging companion that listens without responding
Squeaky Rubber Duck: A fun interactive rubber duck that squeaks when squeezed

Implementation

The server is implemented using FastMCP and provides two main tools:

rubber_duck: A traditional rubber duck debugging tool that listens silently
squeak: An interactive rubber duck that responds with a "Squeak!" when activated

Usage

The server can be used by connecting to it through the MCP protocol. It's particularly useful for:

Debugging complex code issues
Walking through implementation logic
Organizing thoughts during development
Adding a bit of fun to your debugging process with the squeaky duck feature

Installation

Requirements

Python 3.10 or higher
uv package manager
fastmcp package

To use this rubber duck server with Claude, you'll need to install it using the FastMCP CLI. Run the following command:

fastmcp install src/server.py

This will make rubber-duck available to Claude through its MCP configuration file `claude_desktop_config.json`. For more details about Claude Desktop integration, see the [FastMCP documentation](https://github.com/jlowin/fastmcp/blob/main/README.md#claude-desktop-integration-for-regular-use).

The install command will generate a json object of this format:

{
    "mcpServers": {
      "rubber-duck": {
        "command": "uv",
        "args": [
          "run",
          "--with",
          "fastmcp",
          "fastmcp",
          "run",
          "/src/server.py"
        ]
      }
    }
}

To use rubber-duck in Cursor, add this json to `/.cursor/mcp.