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mcp-builder

Guide MCP server development with structured tools and evaluation suites.

Updated Jul 18, 2026
Search Tags:#typescript#api#python#llm#evaluation#mcp#server
One-click install
npx skills add https://github.com/arthrod/conejo-skills --skill mcp-builder-arthrod
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/arthrod/conejo-skills/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/arthrod/conejo-skills --skill mcp-builder-arthrod

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, express, axios, zod, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexity of building robust Model Context Protocol (MCP) servers, ensuring that LLMs can reliably interact with external services through well-structured tools.

Core Features & Use Cases

  • Standardized Development: Provides a clear, four-phase workflow for researching, implementing, testing, and evaluating MCP servers.
  • Language Support: Offers specific guidance and patterns for both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations.
  • Evaluation Framework: Includes a built-in harness to create and run complex, read-only evaluations that verify tool effectiveness and LLM performance.

Quick Start

Use the mcp-builder skill to initialize a new MCP server project structure for a TypeScript-based API integration.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I build a Model Context Protocol server for LLM integration?▼

To build an MCP server, this Skill guides you through a four-phase workflow: researching, implementing, testing, and evaluating. It provides structured patterns for Python and TypeScript to ensure reliable LLM-external service integration.

What is the best way to validate inputs in an MCP server?▼

Validating MCP server inputs is handled through structured tools and schemas using Zod. This approach enforces strict input validation for LLM agents, ensuring reliable task execution before external services are called.

Does this MCP server builder support Python and TypeScript?▼

Yes, the MCP server builder supports both environments. It offers specific implementation guidance for Python using FastMCP and Node/TypeScript using the standard MCP SDK.

How do I evaluate LLM performance and tool effectiveness in an MCP server?▼

You evaluate LLM performance using a built-in evaluation harness. It creates and runs complex, read-only evaluations that verify tool effectiveness and agent-based task execution within your MCP server.

How to initialize a TypeScript API integration for an MCP server?▼

To initialize a TypeScript API integration, the mcp-builder skill sets up a new MCP server project structure. This provides the necessary scaffolding to architect high-performance LLM external service integrations.

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