A rubber duck MCP server for your LLM coding agent
Overview
what is Rubber Duck MCP Server?
Rubber Duck MCP Server is a Model Context Protocol (MCP) server designed to provide a rubber duck debugging tool for Large Language Models (LLMs). It allows LLMs to explain their code to a "rubber duck" without expecting any response, aiding in organizing thoughts and debugging effectively.
how to use Rubber Duck MCP Server?
To use the Rubber Duck MCP Server, connect to it through the MCP protocol. Install it using the FastMCP CLI with the command: fastmcp install src/server.py. This will integrate the rubber-duck tool into your LLM environment.
key features of Rubber Duck MCP Server?
- Silent Rubber Duck: A classic debugging companion that listens without responding.
- Squeaky Rubber Duck: An interactive rubber duck that squeaks when squeezed, adding a fun element to debugging.
use cases of Rubber Duck MCP Server?
- Debugging complex code issues by explaining them to the rubber duck.
- Walking through implementation logic to clarify thought processes.
- Organizing thoughts during development to enhance productivity.
- Adding a playful aspect to debugging with the squeaky feature.
FAQ from Rubber Duck MCP Server?
- Can I use Rubber Duck MCP Server with any LLM?
Yes! It is designed to work with any LLM that supports the MCP protocol.
- Is there any cost associated with using the Rubber Duck MCP Server?
No, it is open-source and free to use under the MIT License.
- What are the system requirements?
You need Python 3.10 or higher and the
uvpackage manager along with thefastmcppackage.