Perfect for AI Agents needing seamless integration with external tools and data sources via Model Context Protocol (MCP) mcp-builder is a skill that implements Model Context Protocol server building principles, including tool design, resource patterns, and best practices

How do I install mcp-builder?

Run the command: npx killer-skills add xenitV1/Antigravity-Workflows/mcp-builder. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for mcp-builder?

Key use cases include: Building MCP servers for AI system integration, Connecting AI models with external data sources and tools, Implementing Model Context Protocol for standardized communication.

Which IDEs are compatible with mcp-builder?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for mcp-builder?

Requires understanding of Model Context Protocol (MCP) and its core concepts. Needs project structure setup as per MCP server architecture guidelines.

mcp-builder

Install mcp-builder, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md

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MCP Builder

Name: mcp-builder
Availability: InStock
Author: xenitV1

Principles for building MCP servers.

1. MCP Overview

What is MCP?

Model Context Protocol - standard for connecting AI systems with external tools and data sources.

Core Concepts

Concept	Purpose
Tools	Functions AI can call
Resources	Data AI can read
Prompts	Pre-defined prompt templates

2. Server Architecture

Project Structure

my-mcp-server/
├── src/
│   └── index.ts      # Main entry
├── package.json
└── tsconfig.json

Transport Types

Type	Use
Stdio	Local, CLI-based
SSE	Web-based, streaming
WebSocket	Real-time, bidirectional

3. Tool Design Principles

Good Tool Design

Principle	Description
Clear name	Action-oriented (get_weather, create_user)
Single purpose	One thing well
Validated input	Schema with types and descriptions
Structured output	Predictable response format

Input Schema Design

Field	Required?
Type	Yes - object
Properties	Define each param
Required	List mandatory params
Description	Human-readable

4. Resource Patterns

Resource Types

Type	Use
Static	Fixed data (config, docs)
Dynamic	Generated on request
Template	URI with parameters

URI Patterns

Pattern	Example
Fixed	`docs://readme`
Parameterized	`users://{userId}`
Collection	`files://project/*`

5. Error Handling

Error Types

Situation	Response
Invalid params	Validation error message
Not found	Clear "not found"
Server error	Generic error, log details

Best Practices

Return structured errors
Don't expose internal details
Log for debugging
Provide actionable messages

6. Multimodal Handling

Supported Types

Type	Encoding
Text	Plain text
Images	Base64 + MIME type
Files	Base64 + MIME type

7. Security Principles

Input Validation

Validate all tool inputs
Sanitize user-provided data
Limit resource access

API Keys

Use environment variables
Don't log secrets
Validate permissions

8. Configuration

Claude Desktop Config

Field	Purpose
command	Executable to run
args	Command arguments
env	Environment variables

9. Testing

Test Categories

Type	Focus
Unit	Tool logic
Integration	Full server
Contract	Schema validation

10. Best Practices Checklist

Remember: MCP tools should be simple, focused, and well-documented. The AI relies on descriptions to use them correctly.

mcp-builder — AI system integration mcp-builder, Antigravity-Workflows, community, AI system integration, ide skills, Tool design patterns, Resource management, Prompt templating, MCP architecture, AI data sources, Claude Code

About this Skill

Features

# Core Topics

Agent Capability Analysis

Ideal Agent Persona

Core Value

↓ Capabilities Granted for mcp-builder

! Prerequisites & Limits

Browser Sandbox Environment

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