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AI EngineeringTypeScript

MCP Builder

by ThinkInAIXYZ

MCP Builder is an AI Engineering skill for Claude Code, published by ThinkInAIXYZ in deepchat.

6.2K stars716 forkson ThinkInAIXYZ/deepchatAdded 2026/08/15Repository updated 2026/08/15

View source on GitHub Download repo ZIP

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Install in seconds

Install MCP Builder

Copy MCP Builder 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/ThinkInAIXYZ/deepchat/tree/dev/resources/skills/mcp-builder ~/.claude/skills/mcp-builder

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/ThinkInAIXYZ/deepchat.git

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

In this catalog

Source file: resources/skills/mcp-builder/SKILL.md in ThinkInAIXYZ/deepchat
Installs to: ~/.claude/skills/mcp-builder
Collection: One of 24 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What MCP Builder does

MCP Builder guides the creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use it when building MCP servers to integrate external APIs, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

MCP Builder is cataloged under AI Engineering on DirSkills. MCP Builder comes from a repository tagged agent, agent-skills, ai, ai-assistant and ai-sdk.

Documentation

README

Excerpt

MCP Server Development Guide

Overview

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.

Process

🚀 High-Level Workflow

Creating a high-quality MCP server involves four main phases:

Phase 1: Deep Research and Planning

1.1 Understand Modern MCP Design

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

Frequently asked about MCP Builder

What else does ThinkInAIXYZ publish alongside MCP Builder?
MCP Builder is one of 24 skills that DirSkills catalogs from ThinkInAIXYZ/deepchat, the repository it ships in. Its siblings there include Add Provider, Algorithmic Art and CUA Driver. Each one is a separate skill with its own page in this directory, installs the same way MCP Builder does, and is maintained by ThinkInAIXYZ in that same repository. The rest of the collection is listed on the ThinkInAIXYZ/deepchat page.
How does MCP Builder compare to other AI Engineering skills?
MCP Builder ranks #440 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 Builder against them. Open each page to compare what they document and how they install.

More from ThinkInAIXYZ/deepchat

MCP Builder is one of 24 skills cataloged on DirSkills from ThinkInAIXYZ/deepchat.

See all 24 skills →

Add Provider

Add Provider integrates new DeepChat LLM providers by generating explicit source changes across provider defaults, registry, transports, and tests. Use when a developer asks Codex to add a provider, provider profile, upstream provider config, model catalog mapping, or a special provider adapter.

Algorithmic Art

Algorithmic Art creates generative art using p5.js with seeded randomness and interactive parameter exploration. Use it when users request art made with code, flow fields, or particle systems.

CUA Driver

CUA Driver drives native macOS applications by snapshotting their accessibility tree and performing clicks, typing, and scrolling by element index. Use it for GUI tasks in macOS apps, like opening a file in TextEdit or clicking Save in Numbers.

Code Review

Code Review analyzes code for quality, security, and best practices, providing structured feedback with issues categorized by severity and suggestions with code examples. Use it when reviewing code, requesting a security audit, or wanting implementation feedback.

Computer Use

Computer Use drives native desktop applications through DeepChat's built-in computer use tools for GUI tasks like opening apps, clicking, typing, and verifying screen state. Use it when a user asks to operate, inspect, automate, or perform a task in a real desktop application.

DeepChat CLI

DeepChat CLI controls the running DeepChat desktop application through its bundled command-line interface for model inference, image/video/speech generation, transcription, OCR, artifact inspection, public configuration, Skills, and MCP operations.

More AI Engineering skills

MCP Builder is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #440 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.