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AI EngineeringTypeScript

MCP Setup

MCP Setup is an AI Engineering skill for Claude Code, published by Yeachan-Heo in oh-my-claudecode.

38.5K stars3.5K forkson Yeachan-Heo/oh-my-claudecodeAdded 2026/08/13Repository updated 2026/08/13

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Install in seconds

Install MCP Setup

Copy MCP Setup into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/mcp-setup ~/.claude/skills/mcp-setup

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Yeachan-Heo/oh-my-claudecode.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/mcp-setup/SKILL.md in Yeachan-Heo/oh-my-claudecode
Installs to: ~/.claude/skills/mcp-setup
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What MCP Setup does

MCP Setup configures Model Context Protocol servers to extend Claude Code with tools like web search, filesystem access, and GitHub integration. Use it when agents need external capabilities.

MCP Setup is cataloged under AI Engineering on DirSkills. MCP Setup comes from a repository tagged agentic-coding, ai-agents, automation, claude and claude-code.

Documentation

README

Excerpt

MCP Setup

Configure Model Context Protocol (MCP) servers to extend Claude Code's capabilities with external tools like web search, file system access, and GitHub integration.

Overview

MCP servers provide additional tools that Claude Code agents can use. This skill helps you configure popular MCP servers using the claude mcp add command-line interface.

Step 1: Choose a Setup Path

Use AskUserQuestion with one question at a time and no more than 3 options per question. Recent Claude Code builds reject larger option payloads as invalid tool parameters, so keep the MCP selection flow staged.

Question: "What kind of MCP setup would you like?"

This is the opening of the README. Read the full README on GitHub.

Frequently asked about MCP Setup

What else does Yeachan-Heo publish alongside MCP Setup?
MCP Setup is one of 25 skills that DirSkills catalogs from Yeachan-Heo/oh-my-claudecode, the repository it ships in. Its siblings there include AI Slop Cleaner, Ask and Autopilot. Each one is a separate skill with its own page in this directory, installs the same way MCP Setup does, and is maintained by Yeachan-Heo in that same repository. The rest of the collection is listed on the Yeachan-Heo/oh-my-claudecode page.
How does MCP Setup compare to other AI Engineering skills?
MCP Setup ranks #142 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of MCP Setup against them. Open each page to compare what they document and how they install.

More from Yeachan-Heo/oh-my-claudecode

MCP Setup is one of 25 skills cataloged on DirSkills from Yeachan-Heo/oh-my-claudecode.

See all 25 skills →

AI Slop Cleaner

AI Slop Cleaner removes code bloat, duplication, dead code, and needless abstraction from AI-generated code using a deletion-first, regression-safe workflow. It supports a reviewer-only mode to separate cleanup writing from review.

Ask

Ask routes a prompt through the local Claude, Codex, Gemini, Antigravity, Grok, or Cursor CLI via `omc ask` and persists the result as an ask artifact. Use it when you want to ask a local AI model a question or task and save the response.

Autopilot

Autopilot turns a brief product idea into working code by autonomously handling requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation. Use it when you want hands-off execution from a 2-3 line description to verified, working software.

Autoresearch

Autoresearch runs one mission through bounded, evaluator-driven iterations and records each decision in durable logs. Use it when you have an existing mission and want persistent improvement until an explicit stop condition or max runtime is reached.

CCG

CCG routes tasks through Codex and Antigravity/Gemini CLIs, then Claude synthesizes both outputs into one answer. Use it to get parallel external perspectives on architecture, code review, and UI without tmux team workers.

Cancel OMC Mode

Cancel OMC Mode detects and cancels the active Oh My Claude Code mode such as autopilot, ralph, ultrawork, or swarm. Use it to cleanly exit a workflow, release tasks, and clear state files.

More AI Engineering skills

MCP Setup is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #142 by stars among them.

Browse all AI Engineering skills →

Architecture Decision Records

Architecture Decision Records captures architectural decisions made during Claude Code sessions as structured ADRs, recording context, alternatives, and rationale. Use it when significant technical choices are made so future developers understand why the codebase is shaped the way it is.

AI-First Engineering

AI-First Engineering defines process, review, and architecture standards for teams where AI agents produce most implementation output. Use it to set ownership rules, quality gates, and evaluation criteria for agent-generated code.

Agentic OS

Agentic OS codifies a persistent multi-agent operating system architecture for Claude Code. Use it when building a multi-agent workflow with file-based memory, slash commands, and scheduled automation that survives session restarts.