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Jaydpatel01
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mcp-builder

Guide MCP server development in TypeScript or Python with testing and evaluation.

Updated Mar 8, 2026
Search Tags:#typescript#python#llm#mcp#api integration#server development#tool development
One-click install
npx skills add https://github.com/Jaydpatel01/.github --skill mcp-builder-jaydpatel01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/Jaydpatel01/.github/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/Jaydpatel01/.github --skill mcp-builder-jaydpatel01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • MCP Server Development: Guides users through the process of creating MCP servers for LLM integration.
  • Tool Design: Emphasizes best practices for tool naming, context management, and actionable error messages.
  • Framework Integration: Details implementation using TypeScript (recommended) and Python.
  • Evaluation Framework: Outlines how to create robust evaluations for MCP server effectiveness.
  • Use Case: A developer needs to build a server that allows an LLM to manage GitHub issues and repositories. This Skill provides the step-by-step process, best practices, and testing methodologies.

Quick Start

Follow the detailed phases outlined in this guide to research, implement, test, and evaluate your MCP server.

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 with external services?▼

Building an MCP server involves researching, planning, implementing, and testing tools in TypeScript or Python. It emphasizes API coverage, tool discoverability, context management, and actionable error messages for effective LLM agent integration.

What is the best way to design tools for an LLM agent?▼

Designing LLM agent tools requires following best practices for tool naming, context management, and actionable error messages. This ensures the LLM can effectively discover and interact with external services via the MCP server.

Can I use Python to implement MCP servers, or is TypeScript required?▼

You can implement MCP servers using either Python or TypeScript, though TypeScript is recommended. Both languages support developing tools that facilitate LLM interaction with external services.

How do I evaluate the effectiveness of an MCP server?▼

Evaluating MCP server effectiveness requires creating a robust evaluation framework that tests API coverage and tool discoverability. Comprehensive testing ensures proper context management and actionable error messages for LLM agents.

What should I consider when planning API coverage for an MCP server?▼

Planning API coverage for an MCP server requires ensuring tools provide complete access to external service functionalities. Emphasize tool discoverability, context management, and actionable error messages for seamless LLM agent integration.

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