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 research and get different perspectives!
Last commit November 2, 2026, 9 days ago.
180 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: GitHub health 71/100 +8, no security policy +8, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if mcp-rubber-duck belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add mcp-rubber-duck -- npx mcp-rubber-duckRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove mcp-rubber-duckNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ mcp-rubber-duck ← registers here
mcp-rubber-duck is listed on Honeystax as a MCP Server for Universal, since July 21, 2026. Its code is at github.com/nesquikm/mcp-rubber-duck, with 180 GitHub stars and 28 open issues. Last commit November 2, 2026, 9 days ago. GitHub's community health check gives it 71 out of 100.
Source: GitHub repository
Source check: November 2, 2026
Upstream commit: November 2, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.