mcp-builder

Guide MCP server development with tool creation and evaluation in Python.

2|Updated Feb 13, 2026

Search Tags:#llm #mcp #external services #server setup #tool development

Ready to run

npx skills add https://github.com/keturk/datrix --skill mcp-builder-keturk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/keturk/datrix/tree/main/claude-config/.claude/skills/mcp-builder
Command: npx skills add https://github.com/keturk/datrix --skill mcp-builder-keturk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers create robust MCP (Model Context Protocol) servers that facilitate LLM interactions with external services. It guides the setup, tool implementation, and evaluation of MCP servers for seamless integration and performance.

Core Features & Use Cases

MCP Server Development Guide: Provides comprehensive documentation and guidelines for building MCP servers.
Tool Implementation: Offers step-by-step instructions for implementing tools with input/output schemas, annotations, and error handling.
Evaluation Process: Outlines the process for evaluating MCP servers using real-world scenarios and complex questions.

Quick Start

Use the mcp-builder skill to create a basic MCP server with tool integration and evaluation.

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 interaction with external services?▼

Building an MCP server involves following comprehensive guidelines for server setup, tool creation with defined schemas, and evaluation using Python. This ensures robust LLM interaction with external services.

What is the Model Context Protocol used for in server development?▼

The Model Context Protocol provides specifications for tool registration and data exchange between LLMs and external services. It facilitates structured interactions during server development.

Do I need Python to implement and evaluate an MCP server?▼

Yes, Python is required for both implementing and evaluating MCP servers. The development process uses Python to handle tool creation, protocol specifications, and real-world evaluation scenarios.

How do I implement tools with input/output schemas in an MCP server?▼

Implementing MCP server tools involves following step-by-step instructions to define input/output schemas, add annotations, and handle errors. This ensures reliable data exchange and proper tool registration.

What is the best way to evaluate MCP servers using real-world scenarios?▼

Evaluating MCP servers involves running them against real-world scenarios and complex questions using Python. This process verifies that tool integration and LLM interactions perform as expected.

What are the limitations of using Model Context Protocol for external service integration?▼

Using the Model Context Protocol requires Python for implementation and evaluation, and relies on strict specifications for tool registration. These constraints ensure robust integration but limit flexibility outside the Python ecosystem.