Mcp builder

Skill cskwork/claude-minimal-plugin/skills/mcp-builder

15 design & dev skills + 6 AI agents + TDD workflow for Claude Code. Zero dependencies. One install.

Install

npx -y skills add cskwork/claude-minimal-plugin --skill mcp-builder

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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).

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.7 KB, as published. Nobody here has run it

MCP Server Development Guide

Create MCP servers that enable LLMs to interact with external services through well-designed tools.

High-Level Workflow

Phase 1: Research and Planning

Understand Modern MCP Design:

Balance comprehensive API coverage with specialized workflow tools
Use clear, descriptive tool names with consistent prefixes (e.g., github_create_issue)
Design tools that return focused, relevant data
Provide actionable error messages

Study MCP Protocol:

Start with sitemap: https://modelcontextprotocol.io/sitemap.xml
Key pages: specification, transport mechanisms, tool definitions

Phase 2: Implementation

Recommended Stack:

Language: TypeScript (best SDK support)
Transport: Streamable HTTP for remote, stdio for local

Project Structure:

my-mcp-server/
├── src/
│   ├── index.ts      # Server entry point
│   ├── tools/        # Tool implementations
│   └── utils/        # Shared utilities
├── package.json
└── tsconfig.json

Tool Implementation Pattern:

server.registerTool({
  name: "github_create_issue",
  description: "Create a new GitHub issue",
  inputSchema: z.object({
    repo: z.string().describe("Repository name (owner/repo)"),
    title: z.string().describe("Issue title"),
    body: z.string().optional().describe("Issue body")
  }),
  outputSchema: z.object({
    id: z.number(),
    url: z.string()
  }),
  annotations: {
    readOnlyHint: false,
    destructiveHint: false,
    idempotentHint: false
  },
  handler: async (input) => {
    // Implementation
    return { id: 123, url: "https://..." };
  }
});

Phase 3: Test

# TypeScript
npm run build
npx @modelcontextprotocol/inspector

# Python
python -m py_compile your_server.py

Phase 4: Create Evaluations

Create 10 complex, realistic questions to test your MCP server:

<evaluation>
  <qa_pair>
    <question>Find all open issues labeled 'bug' in the repo</question>
    <answer>5</answer>
  </qa_pair>
</evaluation>

Tool Design Best Practices

Use Zod (TS) or Pydantic (Python) for schemas
Include constraints and examples in field descriptions
Define outputSchema for structured data
Support pagination where applicable
Add tool annotations (readOnly, destructive, idempotent)