ck:mcp-builder

Build MCP servers integrating external services with model-discoverable tools.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-mcp-builder-jangtrinh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:mcp-builder
Source: https://github.com/jangtrinh/demo-Lam/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-mcp-builder-jangtrinh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

ck:mcp-builder helps you turn an external service API into a high-quality MCP server that LLMs can use effectively for real tasks, not just raw endpoint calls.

Core Features & Use Cases

  • Workflow-first MCP tool design: translate API operations into agent-friendly tools that support complete tasks end-to-end.
  • Context-efficient outputs: plan token-efficient responses, truncation strategies, and pagination so tools don’t overwhelm the model.
  • Implementation-ready development plan: guides research, input/output schema design, error handling, and evaluations to validate tool usability.

Quick Start

Provide the external service or API you want to integrate, then ask the skill to produce an MCP server implementation plan including tool selection, schemas, error strategy, and an evaluation plan.

Frequently Asked Questions about ck:mcp-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build an MCP server for an external API?

To build an MCP server for an external API, provide the target service to generate an implementation plan covering tool selection, input/output schemas, pagination, truncation, and error handling for LLM agents.

What is workflow-first MCP tool design?

Workflow-first MCP tool design translates API operations into agent-friendly tools that support complete tasks end-to-end, ensuring LLMs can execute real workflows rather than just making raw endpoint calls.

Can I implement MCP servers using both Python and TypeScript SDKs?

Yes, you can implement MCP servers using both Python and Node/TypeScript SDKs, allowing you to design model-discoverable tools and evaluation scenarios across either development environment.

How do I handle large API responses in MCP tools?

Handle large API responses in MCP tools by planning context-efficient outputs with token-efficient responses, truncation strategies, and pagination so tools don't overwhelm the model's context window.

How do I validate MCP tool usability before deployment?

Validate MCP tool usability by preparing read-only evaluation scenarios and an evaluation harness, which verifies that LLM agents can effectively use the tools with robust validation and actionable error messages.