What is setup-mcp-server?

A setup guide for adding the mcp-rubber-duck MCP server to AI coding tools. An MCP server lets an AI tool connect to an external capability through a standard configuration.

Use it to configure mcp-rubber-duck in Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, Continue, and other listed tools.

It explains where each supported tool stores its configuration and which settings it expects.

How nesquikm/mcp-rubber-duck configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to nesquikm/mcp-rubber-duck. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/nesquikm/mcp-rubber-duck/master/.claude/skills/setup-mcp-server/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/nesquikm/mcp-rubber-duck

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nesquikm/mcp-rubber-duck/setup-mcp-server/github.svg)](https://agentmods.dev/skills/nesquikm/mcp-rubber-duck/setup-mcp-server)

Your own site

<a href="https://agentmods.dev/skills/nesquikm/mcp-rubber-duck/setup-mcp-server"><img src="https://agentmods.dev/badge/skills/nesquikm/mcp-rubber-duck/setup-mcp-server/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nesquikm/mcp-rubber-duck/setup-mcp-server"><img src="https://agentmods.dev/badge/skills/nesquikm/mcp-rubber-duck/setup-mcp-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,342 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 49
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]
medium Rogue Agent · line 73
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.01342
Opus 5	$0.00016	$0.00671
Sonnet 5	$0.00007	$0.00268
Haiku 4.5	$0.00003	$0.00134

Measured 10d ago against content hash 28d6e316a48e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

setup-mcp-server scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

setup-mcp-server — 100% identical, 0 lines differ

.claude/skills/setup-mcp-server/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup mcp-rubber-duck

You are setting up mcp-rubber-duck as an MCP server in an AI coding tool.

Reference

.claude/skills/setup-mcp-server/references/tool-configs.md — per-tool JSON/YAML config templates
.claude/skills/setup-mcp-server/references/provider-env-vars.md — env var reference
.claude/skills/setup-mcp-server/references/troubleshooting.md — common issues

Supported tools and config paths

Tool	Config File (macOS)	Key	Notes
Claude Desktop	`~/Library/Application Support/Claude/claude_desktop_config.json`	`mcpServers`	Windows: `%APPDATA%\Claude\claude_desktop_config.json`
Claude Code (user)	`~/.claude.json`	`mcpServers`	Prefer `claude mcp add` CLI
Claude Code (project)	`.mcp.json`	`mcpServers`	Shared via VCS
Cursor (project)	`.cursor/mcp.json`	`mcpServers`
Cursor (global)	`~/.cursor/mcp.json`	`mcpServers`
Windsurf	`~/.codeium/windsurf/mcp_config.json`	`mcpServers`	Supports `${env:VAR}`
VS Code	`.vscode/mcp.json`	`servers`	Different key name! Uses `${env:VAR}`
Continue	`.continue/config.yaml`	`mcpServers` (array)	YAML format

ChatGPT supports MCP via UI only (Developer Mode > Add MCP Server), not a config file.

1. Determine target tool

If $ARGUMENTS specifies a tool name, use it. Otherwise ask the user:

Supported tools: claude-desktop, claude-code, cursor, windsurf, vscode, continue

2. Detect platform

Run uname -s to detect macOS / Linux / Windows (Git Bash). This affects config file paths.

3. Detect install method

Check in order:

which mcp-rubber-duck — if found, use mcp-rubber-duck as the command
If we're inside the mcp-rubber-duck repo (check for package.json with "name": "mcp-rubber-duck"), offer from-source via node dist/index.js
Default to npx -y mcp-rubber-duck

4. Ask about providers

Ask the user which providers to include. Offer these choices:

OpenAI (OPENAI_API_KEY) — most popular
Google Gemini (GEMINI_API_KEY)
Groq (GROQ_API_KEY) — fast inference
Ollama (local, no key needed)
CLI agents (Claude CLI, Codex, Gemini CLI, Aider)

Read the full file on GitHub · 119 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 119 lines · 33 tokens per session scan A 28d6e316a48e

Subscribe to this mod's changes

setup-mcp-server is a skill published in the GitHub repository nesquikm/mcp-rubber-duck (175 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 1,342 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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mcp-rubber-duck: Skill for Claude Code