create-mcp-server

Build MCP servers exposing external services as LLM-callable tools.

1|Updated Jul 13, 2026

Search Tags:#error handling #mcp #api integration #model context protocol #tool design #pagination #llm tools

Ready to run

npx skills add https://github.com/vh2224/forge-executor --skill create-mcp-server-vh2224

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: create-mcp-server
Source: https://github.com/vh2224/forge-executor/tree/main/src/resources/skills/create-mcp-server
Command: npx skills add https://github.com/vh2224/forge-executor --skill create-mcp-server-vh2224

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design and build Model Context Protocol servers that are genuinely useful to LLMs, not just technically valid.

Core Features & Use Cases

Tool Design for Model Usefulness: Shapes APIs into a small set of high-signal tools with clear descriptions, sensible inputs, and decision-ready outputs.
Error Handling and Pagination: Translates raw API failures into actionable messages and uses opaque cursors so models can continue workflows reliably.
Testing and Evaluation: Includes MCP Inspector validation and an eval set so you can verify the server works end to end.
Use Case: If you want to expose an internal service, CRM, or data source to Claude or another LLM, this Skill guides you through scoping, implementation, testing, and packaging.

Quick Start

Ask the assistant to design an MCP server for your target API, including the tools, error handling, pagination strategy, and an eval plan.

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 that LLMs can actually use effectively?▼

To build an effective MCP server, shape your APIs into a small set of high-signal tools with clear descriptions, structured schemas, and decision-ready outputs. This ensures the model can reliably understand and call the tools.

How should I handle API errors and pagination in Model Context Protocol tools?▼

Handle API errors in MCP tools by translating raw API failures into actionable, human-readable messages. Use opaque cursors for pagination so models can reliably continue workflows without losing state.

What is the best way to test an MCP server before exposing it to an LLM?▼

The best way to test an MCP server is by using MCP Inspector validation and an end-to-end eval set. This verifies that the server's tools, schemas, and error handling work correctly before deployment.

How do I expose an internal service or CRM to an LLM via Model Context Protocol?▼

Expose internal services to an LLM by wrapping their APIs as model-friendly MCP tools. Scope the implementation by defining sensible inputs, decision-ready outputs, and structured schemas for the target service.

Why do my LLM tools fail to continue workflows when hitting API rate limits?▼

LLM tools fail to continue workflows when raw API errors are not translated into actionable messages. You must provide human-readable errors and use opaque cursors for pagination to help the model recover.

Do I need structured schemas for every tool in an MCP server?▼

Yes, structured schemas are required for every tool in an MCP server. They provide the clear descriptions and sensible inputs necessary for the model to understand the tool and generate decision-ready outputs.