MCP Builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Overview
The MCP Server Development Guide provides a structured framework for building high-quality Model Context Protocol (MCP) servers. Found within the anthropics/skills repository, this resource assists developers in creating tools that allow Large Language Models to interact securely and efficiently with external services. The guide covers implementation strategies for both the Python-based FastMCP framework and the Node/TypeScript MCP SDK. By following these standards, developers can ensure their servers provide reliable data access and functional toolsets for agents like Claude and Codex. The repository, which has gained significant traction with over 150,000 stars, emphasizes best practices in design, testing, and security to facilitate robust integration between AI models and third-party APIs or local data sources.
Use Cases
Install Notes
# Review source first
open https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.mdCopy or clone the skill folder into your agent skills directory after reviewing its instructions and scripts.
Security Notes
Developers should prioritize secure tool design and data handling when building MCP servers. The guide emphasizes the importance of security reviews and testing to ensure that external API integrations do not expose sensitive information or allow unauthorized access during LLM interactions.
Related Skills
Claude API
anthropics/skills
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthr...
Skill Creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Debugging And Error Recovery
addyosmani/agent-skills
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing.
Source Driven Development
addyosmani/agent-skills
Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.
Using Agent Skills
addyosmani/agent-skills
Discovers and invokes agent skills. Use when starting a session or when you need to discover which skill applies to the current task. This is the meta-skill that governs how all other skills are discovered and invoked.
Context Engineering
addyosmani/agent-skills
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.