io.github.nesquikm/rubber-duck

mcp-serverNo score yet

An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!

Stars

167

Δ stars 7d

Δ stars 30d

Forks

24

Contributors

4

npm DL / wk

52

PyPI DL / wk

Language

TypeScript

Last push

2026-06-09

About io.github.nesquikm/rubber-duck

An MCP (Model Context Protocol) server that acts as a bridge to query multiple LLMs -- both OpenAI-compatible HTTP APIs and CLI coding agents. Just like rubber duck debugging, explain your problems to various AI "ducks" and get different perspectives! Any provider with an OpenAI-compatible API endpoint, including: Create a `.env` file or `config/config.json`. Key environment variables:

Read the full README on GitHub →

Install

npm install mcp-rubber-duck
Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is io.github.nesquikm/rubber-duck still maintained?
Yes — actively maintained. The last push was on 2026-06-09, with 4 contributors.
What are the best io.github.nesquikm/rubber-duck alternatives?
Closest by category and size in our data: com.zomato/mcp, langfuse/mcp-server-langfuse, io.github.alphavantage/alpha_vantage_mcp — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 25 open issues · 52 releases