mcp-builder

Creates Model Context Protocol servers and custom tools for AI models.

1|Updated Sep 26, 2025
One-click install
npx skills add https://github.com/pascallammers/mylo-travel-concierge-v2 --skill mcp-builder-pascallammers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/pascallammers/mylo-travel-concierge-v2/tree/main/.factory/skills/mcp-builder
Command: npx skills add https://github.com/pascallammers/mylo-travel-concierge-v2 --skill mcp-builder-pascallammers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of Model Context Protocol (MCP) servers, enabling developers to extend AI models like Claude with custom functions, data sources, and integrations.

Core Features & Use Cases

  • MCP Server Creation: Build and deploy custom servers that define how an AI interacts with external tools.
  • Tool & Function Implementation: Define new capabilities for AI models, such as custom calculations or API calls.
  • Data Source Integration: Connect AI models to specific databases or information repositories.
  • Use Case: Develop a custom tool for an AI to query a company's internal knowledge base, providing employees with instant, context-aware answers.

Quick Start

Use the mcp-builder skill to create a basic MCP server that lists a 'search' tool.

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 custom MCP server for Claude?

To build a custom MCP server for Claude, you use this Skill to define how the AI interacts with external tools and instantiate the server using the @modelcontextprotocol/sdk for request handling.

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

The Model Context Protocol is used to extend AI models like Claude with custom functions, data source connectors, and external service integrations, enabling context-aware capabilities such as querying internal knowledge bases.

Do I need the @modelcontextprotocol/sdk to create custom AI tools?

Yes, you need the @modelcontextprotocol/sdk dependency to instantiate your MCP server and handle requests when creating custom AI tools and data source integrations.

How do I connect an AI model to an external database or data source?

You connect an AI model to external data sources by using this Skill to implement data source integration capabilities, allowing the AI to query specific databases or information repositories directly.

Can I define custom API calls and functions for AI models using MCP?

Yes, you can define custom API calls and calculations for AI models by using this Skill to implement specific tool and function capabilities within your MCP server architecture.