mcp-builder

Guide users through creating MCP servers in TypeScript or Python.

1|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/sidart10/orion-slackbot --skill mcp-builder-sidart10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/sidart10/orion-slackbot/tree/main/.skills/mcp-builder
Command: npx skills add https://github.com/sidart10/orion-slackbot --skill mcp-builder-sidart10

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to developing high-quality Model Context Protocol (MCP) servers, enabling Large Language Models (LLMs) to interact seamlessly with external services through well-defined tools.

Core Features & Use Cases

  • Structured Development Process: Follows a four-phase approach: Research, Implementation, Review, and Evaluation.
  • Language Agnostic Guidance: Offers specific advice for both TypeScript and Python implementations.
  • Best Practices: Emphasizes clear naming, actionable error messages, and efficient context management.
  • Use Case: You need to expose your company's internal CRM API to an LLM. This Skill guides you through creating an MCP server that allows the LLM to query customer data, create new contacts, and update existing records reliably.

Quick Start

Use the mcp-builder skill to learn how to implement a new MCP server in TypeScript.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build an MCP server for LLM integration?

Building an MCP server for LLM integration involves following a four-phase process: Research, Implementation, Review, and Evaluation. This approach covers API coverage, tool design, and error handling for exposing external services.

What is the Model Context Protocol used for in API development?

The Model Context Protocol (MCP) is used in API development to enable Large Language Models to interact seamlessly with external services through well-defined tools, allowing LLMs to reliably query and manipulate external data.

Can I implement an MCP server in both TypeScript and Python?

Yes, you can implement an MCP server in both TypeScript and Python. The development guidance is language agnostic, offering specific SDK implementation advice and best practices for both programming environments.

What are the best practices for MCP server tool design and error handling?

Best practices for MCP server tool design emphasize clear naming conventions, actionable error messages, and efficient context management. These practices ensure LLMs can interact with external APIs predictably and reliably.

Do I need to understand MCP specifications to create LLM-friendly APIs?

Yes, understanding MCP specifications and SDKs is required to create LLM-friendly APIs. This foundational knowledge is necessary for planning the server implementation and ensuring proper protocol adherence during development.