Build Mcp

This walks you through building MCP servers that let LLMs talk to external APIs, whether you're using Python's FastMCP or the Node/TypeScript SDK. The real value is in the workflow design principles: it pushes you to build tools around complete tasks rather than just wrapping API endpoints, optimize for token limits with concise responses, and write error messages that guide the agent toward solutions. It includes comprehensive checklists for studying API docs, planning tool selection, and implementing pagination and formatting helpers. The guides cover both ecosystems with specifics on Pydantic vs Zod schemas, proper async patterns, and MCP-specific annotations like readOnlyHint and destructiveHint. Treats building for agents as a distinct discipline from standard API integration.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add neolabhq/context-engineering-kit --skill build-mcp --agent claude-code

Installs into .claude/skills of the current project.

Files

MCP Server Development Guide

Overview

To create high-quality MCP (Model Context Protocol) servers that enable LLMs to effectively interact with external services, use this skill. An MCP server provides tools that allow LLMs to access external services and APIs. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks using the tools provided.

Process

🚀 High-Level Workflow

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

Phase 1: Deep Research and Planning

1.1 Understand Agent-Centric Design Principles

Before diving into implementation, understand how to design tools for AI agents by reviewing these principles:

Build for Workflows, Not Just API Endpoints:

Don't simply wrap existing API endpoints - build thoughtful, high-impact workflow tools
Consolidate related operations (e.g., schedule_event that both checks availability and creates event)
Focus on tools that enable complete tasks, not just individual API calls
Consider what workflows agents actually need to accomplish

Optimize for Limited Context:

SKILL.md on GitHub