nesquikm/mcp-rubber-duck

Overview

An MCP server that bridges to multiple OpenAI-compatible LLMs. It provides tool access via the Model Context Protocol. Developers can explain problems to different AI models and get varied perspectives, similar to rubber duck debugging.

Best for

Best for
Developers who want to compare answers from multiple AI models during debugging

Use cases

• Debugging code by explaining to multiple AI models
• Getting alternative solutions from different LLMs
• Exploring different perspectives on a technical problem

How to use

Install

npx mcp-rubber-duck

Tools exposed

• OPENAI_API_KEY
• GEMINI_API_KEY
• GROQ_API_KEY
• DEFAULT_PROVIDER
• DEFAULT_TEMPERATURE
• LOG_LEVEL
• MCP_SERVER
• MCP_BRIDGE_ENABLED
• ask_duck
• chat_with_duck
• clear_conversations
• list_ducks
• list_models
• compare_ducks
• duck_council
• get_usage_stats
• duck_vote
• duck_judge
• duck_iterate
• duck_debate

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

An MCP server that bridges to multiple OpenAI-compatible LLMs. It provides tool access via the Model Context Protocol. Developers can explain problems to different AI models and get varied perspectives, similar to rubber duck debugging.

165 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

• Debugging code by explaining to multiple AI models
• Getting alternative solutions from different LLMs
• Exploring different perspectives on a technical problem

Pros

• Supports multiple LLMs for varied perspectives
• Integrates with MCP tools for extended functionality
• Open source with 165 stars and active development

Cons

• Requires OpenAI-compatible API endpoints
• Dependent on MCP protocol adoption
• May not replace human rubber duck debugging

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.