MCP Servers / development / mcp-rubber-duck

mcp-rubber-duck

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httpnone★ 165development

Query multiple LLMs in parallel from AI coding tools â rubber duck debugging, but the ducks talk back.

github ↗

Install

How to run this server

[ { "cmd": "npx directly", "imports": [] } ]

server path: mcp-rubber-duck

Tools

What this server exposes

ask_duck

Ask a single question to a specific LLM provider

chat_with_duck

Conversation with context maintained across messages

clear_conversations

Clear all conversation history

list_ducks

List configured providers and health status

list_models

List available models for providers

compare_ducks

Ask the same question to multiple providers simultaneously

duck_council

Get responses from all configured ducks

get_usage_stats

Usage statistics and estimated costs

duck_vote

Multi-duck voting with reasoning and confidence

duck_judge

Have one duck evaluate and rank others' responses

duck_iterate

Iteratively refine a response between two ducks

duck_debate

Structured multi-round debate between ducks

mcp_status

MCP Bridge status and connected servers

get_pending_approvals

Pending MCP tool approval requests

approve_mcp_request

Approve or deny a duck's MCP tool request

Configuration

Environment & auth

authnone

envOPENAI_API_KEY

envGEMINI_API_KEY

envGROQ_API_KEY

Resources

githubhttps://github.com/nesquikm/mcp-rubber-duck ↗