mcp-builder

Build MCP servers with Python FastMCP or Node TypeScript MCP SDK.

Updated Jul 9, 2025

Search Tags:#typescript #security #python #mcp #best-practices #tool-development #server-design

Ready to run

npx skills add https://github.com/underPressue/dotfiles --skill mcp-builder-underpressue

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The MCP Builder provides a structured blueprint for designing and implementing Model Context Protocol servers, helping teams expose safe, well-documented tools that enable LLMs to interact with external services.

Core Features & Use Cases

Phase-driven design: Guides from discovery to deployment, including tooling patterns, pagination, and error handling.
Language-agnostic tooling: Covers Python (FastMCP) and Node/TypeScript (MCP SDK) implementations.
Quality-first development: Emphasizes input validation (Pydantic/Zod), structured outputs, and secure integration.
Use cases: Build a minimal MCP server that exposes read-only tools for internal workflows, or wrap a simple external API for experimentation.

Quick Start

Use the mcp-builder skill to sketch a basic MCP server that exposes two read-only tools for a sample API, and verify with the evaluation harness.

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 with Python or TypeScript that exposes tools safely to LLMs?▼

Building an MCP server involves using a structured blueprint to design and implement safe, well-documented tools via Python (FastMCP) or Node/TypeScript (MCP SDK), ensuring reliable LLM interaction with external services.

What are the best practices for MCP tool design and input validation?▼

Best practices for MCP tool design include enforcing strict input validation using Pydantic or Zod, structuring outputs, handling errors properly, and applying pagination and security measures to ensure scalable integrations.

Can I use FastMCP and the MCP SDK to wrap an external API for LLM experimentation?▼

Yes, you can use the MCP builder blueprint to wrap a simple external API for experimentation, sketching a minimal server that exposes read-only tools to verify interactions with an evaluation harness.

Does building an MCP server require handling pagination and structured outputs?▼

Yes, building robust MCP servers requires handling pagination and returning structured outputs, as these best practices ensure the exposed tools remain scalable and reliable during real-world LLM integrations.

Why does my MCP server integration lack reliability when interacting with external services?▼

MCP server integrations lack reliability when developers skip phase-driven design, neglect proper error handling, or fail to enforce input validation and security best practices during tool development.