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rubber-duck

Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more

Developer Tools stdio npm npmstdionesquikm
RUN IN TERMINAL
claude mcp add nesquikm-rubber-duck -- npx -y mcp-rubber-duck
ADD TO claude_desktop_config.json
{ "mcpServers": { "nesquikm-rubber-duck": { "command": "npx", "args": ["-y", "mcp-rubber-duck"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "nesquikm-rubber-duck": { "command": "npx", "args": ["-y", "mcp-rubber-duck"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "nesquikm-rubber-duck": { "command": "npx", "args": ["-y", "mcp-rubber-duck"] } } }

About This MCP Server

The io.github.nesquikm/rubber-duck server is a Model Context Protocol server that acts as a bridge to multiple large language models and command-line interface agents, enabling interactions such as councils, debates, and voting. It connects to various LLMs and CLI agents through the MCP protocol, allowing developers to integrate these models into their applications. Developers would use this server to facilitate complex interactions between different language models and agents, leveraging its capabilities to build more sophisticated AI-powered tools.

Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.

Package

mcp-rubber-duck on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The rubber-duck server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
Skills Playground MCP badge
[![Skills Playground](https://skillsplayground.com/badges/mcp/nesquikm-rubber-duck.svg)](https://skillsplayground.com/mcps/nesquikm-rubber-duck/)
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