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create-mcp-server

Build end-to-end MCP servers exposing external services as LLM tools.

12|1|Updated May 29, 2026
Search Tags:#testing#integration#llm#tooling#mcp#server
One-click install
npx skills add https://github.com/qdzsh/gsd-revamp --skill create-mcp-server
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-mcp-server
Source: https://github.com/qdzsh/gsd-revamp/tree/main/src/resources/skills/create-mcp-server
Command: npx skills add https://github.com/qdzsh/gsd-revamp --skill create-mcp-server

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build, iterate, and evaluate MCP servers that expose external services as tools for LLMs, enabling model-driven automation and tool orchestration within GSD.

Core Features & Use Cases

  • Research and scope: study MCP design, select framework, and map API tool design to practical workflows.
  • Skeleton and setup: scaffold server structure, client, tools, and evaluation artifacts.
  • Tool implementation and testing: implement tools with documented frontmatter, local validation, and MCP Inspector verification.
  • Eval and integration: produce an eval set and wire the server into GSD configurations for end-to-end testing.

Quick Start

Scaffold an MCP server project and start the evaluation workflow using the MCP Inspector.

Frequently Asked Questions about create-mcp-server

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

FAQPage Schema
How do I build an MCP server to expose external services as tools for LLMs?▼

Scaffolding an MCP server involves mapping API tool design to workflows, implementing tools with documented frontmatter and schemas, and verifying tool orchestration with the MCP Inspector to expose external services for LLMs.

What is the MCP Inspector and how does it evaluate tooling quality?▼

The MCP Inspector verifies local tool implementation and evaluates real task completion through an eval set. It tests exposed MCP toolsets against tooling quality metrics, documented frontmatter, and input/output schemas.

How do I configure pagination and error handling for custom LLM tooling?▼

Configuring pagination and error handling requires enforcing a production-grade server structure with clear error handling, input/output schemas, and pagination within the custom MCP toolset exposed to LLMs.

Does building an MCP server require an existing eval set for integration testing?▼

No, building an MCP server includes producing the eval set as part of the workflow. You generate this eval set to wire the server into configurations and prove real task completion through end-to-end testing.

Why should I use MCP servers for LLM tool orchestration instead of direct API calls?▼

MCP servers provide a production-grade structure with documented frontmatter, schemas, and inspector-based evaluation. This standardized tooling quality ensures reliable tool orchestration and model-driven automation within GSD configurations.

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