RubberDuckMCP MCP Server

By integrating this method into an LLM-powered IDE, Rubber Duck MCP enables developers and AI agents to:

Local serverstdioPython

What is the RubberDuckMCP MCP server?

By integrating this method into an LLM-powered IDE, Rubber Duck MCP enables developers and AI agents to:. The rubberduckmcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 2 defined tools rather than through you.

Its toolset

Everything the assistant can do here goes through one of these:

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Configuration

  • Python 3.8+ - fastmcp (install via pip)

When to reach for it

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. RubberDuckMCP's toolset — Prerequisites, Steps — is a fair guide to whether it matches your workflow. It is maintained by Omer-Sadeh; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the rubberduckmcp mcp server does with a few real requests.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.
Steps1. **Clone the repository:** bash git clone https://github.com/Omer-Sadeh/RubberDuckMCP.git cd RubberDuckMCP 2. **Create and activate a virtual environment (recommended):** bash python3 -m venv .venv source .venv/bin/act

How to install the RubberDuckMCP MCP server

{
       "mcpServers": {
         "rubber-duck": {
           "command": "/absolute/path/to/RubberDuckMCP/.venv/bin/python",
           "args": [
             "/absolute/path/to/RubberDuckMCP/RubberMCP.py"
           ]
         }
       }
     }

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.8+ - fastmcp (install via pip)

Example prompts to try

  • Use RubberDuckMCP to Prerequisites.
  • Use RubberDuckMCP to Steps.

Frequently asked questions

It connects RubberDuckMCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Prerequisites, Steps) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with RubberDuckMCP directly.