Mcp Rubber Duck

Created By

nesquikm5 months ago

Query multiple LLMs in parallel from AI coding tools. Ask a question to OpenAI, Gemini, Groq, or any OpenAI-compatible API — and CLI agents like Claude Code, Codex, and Gemini CLI — then compare answers, run consensus votes, structured debates, and judge evaluations. Rubber duck debugging, but the ducks talk back.

# llm

# multi-model

Overview Content Tools Comments

Overview

Rubber duck debugging, but the ducks talk back. An MCP server that bridges to multiple LLMs so you can get different perspectives without leaving your editor.

Features

Multi-provider querying — Ask OpenAI, Gemini, Groq, Together AI, Ollama, or any OpenAI-compatible API in parallel
CLI agent integration — Spawn Claude Code, Codex, Gemini CLI, Grok, and Aider as "ducks" with full codebase access
Duck Council — Query all providers simultaneously and compare responses side by side
Consensus voting — Have ducks vote on the best approach, with confidence scores
Structured debates — Ducks argue for and against, then a judge picks the winner
Conversations — Maintain chat context across multiple messages
MCP Bridge — Ducks can use external MCP tools (web search, file access, etc.)
Health monitoring — Automatic failover when a provider goes down
Security controls — Rate limiting, token constraints, pattern blocking, PII redaction
Usage analytics — Track requests, tokens, and estimated costs per provider
Interactive UIs — Rich HTML panels for comparison, voting, and debate visualization

Installation

npx mcp-rubber-duck

Also available via Docker and the official MCP Registry.

Try in Playground

Server Config

{
  "mcpServers": {
    "rubber-duck": {
      "command": "mcp-rubber-duck",
      "env": {
        "MCP_SERVER": "true",
        "OPENAI_API_KEY": "<YOUR_OPENAI_KEY>",
        "GEMINI_API_KEY": "<YOUR_GEMINI_KEY>",
        "DEFAULT_PROVIDER": "openai"
      }
    }
  }
}

Project Info

Created At

5 months ago

Updated At

5 months ago

Author Name

nesquikm

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