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Localized reading guide

mcp-builderPurpose, usage and source

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).

Source retrieved:

Source repository
anthropics/skills
SKILL.md
skills/mcp-builder/SKILL.md
Repository stars
185,373
Repository updated
2026-10-29
Categories
Development
Last collected

License: License file needs review

Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.

The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.

What this Skill does

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).

How the upstream workflow works

🚀 High-Level Workflow

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

Upstream passage · L17 ↗

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.

Upstream passage · L9 ↗

2.2 Implement Core Infrastructure

Create shared utilities: API client with authentication Error handling helpers Response formatting (JSON/Markdown)

Upstream passage · L96 ↗
Upstream passage · xml ↗
<evaluation>
  <qa_pair>
    <question>Find discussions about AI model launches with animal codenames. One model needed a specific safety designation that uses the format ASL-X. What number X was being determined for the model named after a spotted wild cat?</question>
    <answer>3</answer>
  </qa_pair>
<!-- More qa_pairs... -->
</evaluation>

Requirements and setup

4.3 Evaluation Requirements

Ensure each question is: Independent: Not dependent on other questions

Upstream passage · L181 ↗

Limits and quality checks

3.1 Code Quality

No duplicated code (DRY principle) Consistent error handling

Upstream passage · L139 ↗

Start with a safe trial

  1. Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
  2. Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
  3. Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
  4. Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.

Skill format and directory specification ↗

Read further in the source

Translation and scope

This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.

This introduction refers to the pinned version below; current repository activity and collection time are shown separately.

Source retrieved
Source commit
ca45fc496a3436251f191354091d557da31c15b5
Source SHA-256
b483b56d6673134497e45489c317f26ae0f1429c194db0297e43073e17e6748c
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