Is Rubber Duck MCP Server safe to use?

Rubber Duck MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Rubber Duck MCP Server?

Rubber Duck MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Rubber Duck MCP Server do?

Rubber Duck MCP Server provides 11 tools: Guardrails, get_usage_stats, Features, Installation, Configuration and 6 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Rubber Duck MCP Server?

Rubber Duck MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Rubber Duck MCP Server actively maintained?

Rubber Duck MCP Server is actively maintained — last commit was 8 days ago. It has 170 GitHub stars.

Rubber Duck MCP Server

directly

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

170 1.1k/wk 11 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 8d ago

Works with most clients

Transport: stdio, sse, http

11 tools · ~485 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-nesquikm-rubber-duck": {
      "args": [
        "-y",
        "directly"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-nesquikm-rubber-duck)](https://mcppedia.org/s/io-github-nesquikm-rubber-duck)

Read me

What Rubber Duck MCP Server does

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!

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'directly' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

91/100across 5 weighted dimensions

How we score →

0255075100

−9

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked directly against OSV.dev.

Inventory

Tools (11)

Click any tool to inspect its schema.

~485 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Rubber Duck MCP Server safe to use?: Rubber Duck MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Rubber Duck MCP Server?: Rubber Duck MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Rubber Duck MCP Server do?: Rubber Duck MCP Server provides 11 tools: Guardrails, get_usage_stats, Features, Installation, Configuration and 6 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Rubber Duck MCP Server?: Rubber Duck MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Rubber Duck MCP Server actively maintained?: Rubber Duck MCP Server is actively maintained — last commit was 8 days ago. It has 170 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for Rubber Duck MCP Server and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-nesquikm-rubber-duck": {
      "args": [
        "-y",
        "directly"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-nesquikm-rubber-duck)](https://mcppedia.org/s/io-github-nesquikm-rubber-duck)

Read me

What Rubber Duck MCP Server does

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'directly' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

MCP Rubber Duck

Why direct provider integration? MCP's sampling 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
Conversation Management -- Maintain context across multiple messages
Duck Council -- Get responses from all your configured LLMs at once
Consensus Voting -- Multi-duck voting with reasoning and confidence scores
LLM-as-Judge -- Have ducks evaluate and rank each other's responses
Iterative Refinement -- Two ducks collaboratively improve responses
Structured Debates -- Oxford, Socratic, and adversarial debate formats
MCP Prompts -- 8 reusable prompt templates for multi-LLM workflows
Vision Input -- Send images alongside prompts to vision-capable models (docs)
Automatic Failover -- Falls back to other providers if primary fails
Health Monitoring -- Real-time health checks for all providers
Usage Tracking -- Track requests, tokens, and estimated costs per provider
MCP Bridge -- Connect ducks to other MCP servers for extended functionality (docs)
Guardrails -- Pluggable safety layer with rate limiting, token limits, pattern blocking, and PII redaction (docs)
Granular Security -- Per-server approval controls with session-based approvals
Interactive UIs -- Rich HTML panels for compare, vote, debate, and usage tools (via MCP Apps)
Tool Annotations -- MCP-compliant hints for tool behavior (read-only, destructive, etc.)
Structured Output -- outputSchema on tools returning structured JSON for client-side validation (Cursor, VS Code/Copilot)
Spec-Aligned by Design -- connects directly to provider APIs, the path the MCP 2026-07-28 spec recommends now that server-side sampling is deprecated (SEP-2577)

Supported Providers

HTTP Providers (OpenAI-compatible API)

Any provider with an OpenAI-compatible API endpoint, including:

OpenAI (GPT-5.1, o3, o4-mini)
Google Gemini (Gemini 3, Gemini 2.5 Pro/Flash)
Anthropic (via OpenAI-compatible endpoints)
Groq (Llama 4, Llama 3.3)
Together AI (Llama 4, Qwen, and more)
Perplexity (Online models with web search)
Anyscale, Azure OpenAI, Ollama, LM Studio, Custom

CLI Providers (Coding Agents)

Command-line coding agents that run as local processes:

Claude Code (claude) -- Codex (codex) -- Gemini CLI (gemini) -- Grok CLI (grok) -- **Aide

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

91/100across 5 weighted dimensions

How we score →

0255075100

−9

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked directly against OSV.dev.

Inventory

Tools (11)

Click any tool to inspect its schema.

~485 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Rubber Duck MCP Server safe to use?: Rubber Duck MCP Server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Rubber Duck MCP Server?: Rubber Duck MCP Server supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Rubber Duck MCP Server do?: Rubber Duck MCP Server provides 11 tools: Guardrails, get_usage_stats, Features, Installation, Configuration and 6 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Rubber Duck MCP Server?: Rubber Duck MCP Server is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Rubber Duck MCP Server actively maintained?: Rubber Duck MCP Server is actively maintained — last commit was 8 days ago. It has 170 GitHub stars.