by nesquikm · MCP Server · ★ 168
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MCP 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! Why direct provider integration? MCP's primitive -- a server borrowing the host's model -- was deprecated in the 2026-07-28 spec RC in favor of servers integrating directly with LLM provider APIs. Rubber Duck has always worked this way (it brings its own ducks), so it's aligned with where the protocol is heading -- no migration required. Features Universal OpenAI Compatibility -- Works with any OpenAI-compatible API endpoint CLI Agent Support -- Use CLI coding agents (Claude Code, Codex, Gemini CLI, Grok, Aider) as ducks Multiple Ducks -- Configure and query multiple LLM providers simultaneously Convers
| Stars | 168 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.378438149496/100 |
| Open Issues | 25 |
| Last Updated | 2026-06-22 |
| Created | 2025-08-27 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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mcp-rubber-duck is 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 researc. It is categorized as a MCP Server with 168 GitHub stars.
mcp-rubber-duck is primarily written in TypeScript.
You can find installation instructions and usage details in the mcp-rubber-duck GitHub repository at github.com/nesquikm/mcp-rubber-duck. The project has 168 stars and 24 forks, indicating an active community.
mcp-rubber-duck is released under the MIT license, making it free to use and modify according to the license terms.