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.
Test Driven Development
addyosmani/agent-skills
Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
Shipping And Launch
addyosmani/agent-skills
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Doubt Driven Development
addyosmani/agent-skills
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high (produc...
Code Simplification
addyosmani/agent-skills
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.