mcp-builder

Design and implement MCP servers for Python and TypeScript environments.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/fabiolpgomes/lodgra --skill mcp-builder-fabiolpgomes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/fabiolpgomes/lodgra/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/fabiolpgomes/lodgra --skill mcp-builder-fabiolpgomes

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the development of Model Context Protocol (MCP) servers, solving the complexity of connecting LLMs to external APIs and services through standardized, high-quality tool interfaces.

Core Features & Use Cases

  • Standardized Tooling: Provides a structured workflow for designing, implementing, and evaluating MCP servers in Python or TypeScript.
  • Evaluation Harness: Includes a built-in testing framework to verify that LLMs can effectively use your tools to solve complex, multi-step tasks.
  • Use Case: If you need to integrate a proprietary internal database or a third-party SaaS API into an AI agent, this Skill guides you through creating a production-ready MCP server that ensures reliable, context-aware tool execution.

Quick Start

Use the mcp-builder skill to initialize a new MCP server project and run the evaluation harness against your implementation.

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 to connect an LLM to an external API?

To build an MCP server, use this Skill to initialize a project in Python or TypeScript, register tools, and validate schemas. It provides a structured workflow for connecting LLMs to external APIs with robust error handling and pagination support.

What is the Model Context Protocol used for in AI integration?

The Model Context Protocol standardizes how LLMs interact with external APIs and services. It enables AI agents to reliably execute context-aware tools, ensuring seamless integration with proprietary databases or third-party SaaS platforms.

Can I use this to create MCP servers in both Python and TypeScript?

Yes, you can use this Skill to create MCP servers in both Python and TypeScript environments. It supports development workflows for both languages, including tool registration, schema validation, and standardized naming conventions.

How do I test if an LLM can effectively use my custom MCP tools?

You can test LLM tool usage by running the built-in evaluation harness included in the Skill. This testing framework verifies that models can effectively use your tools to solve complex, multi-step tasks during development.

What's the best way to handle pagination and errors in an MCP server?

The best way to handle pagination and errors is to follow the standardized tool naming conventions and robust error handling requirements provided by this Skill. It guides you through implementing production-ready interfaces for reliable tool execution.

Do I need the Anthropic dependency to implement Model Context Protocol servers?

Yes, you need the Anthropic dependency along with the MCP package to implement servers using this Skill. These dependencies provide the foundational libraries required for protocol compliance and LLM interaction.