mcp-builder

Scaffold MCP servers with validated tool schemas and standardized transport.

3|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/xiaden/nomarr --skill mcp-builder-xiaden
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/xiaden/nomarr/tree/main/.github/skills/mcp-builder
Command: npx skills add https://github.com/xiaden/nomarr --skill mcp-builder-xiaden

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a blueprint and best practices for building MCP servers, enabling developers to scaffold, register tools, and test MCP-based integrations across Python and TypeScript.

Core Features & Use Cases

  • Standardized MCP server scaffolding: naming conventions, project structure, and transport patterns for Python and TypeScript.
  • Tool registration and validation patterns: input/output schemas using Pydantic/Zod, annotations, and example tool definitions.
  • Transport and testing guidance: guidance on stdio, streamable HTTP, and evaluation harness usage.
  • Quality and security best practices: code reuse, error handling, pagination, and structured outputs.

Quick Start

Follow the MCP Builder guides in the References to scaffold a new MCP server. Install dependencies for your language (Python or TypeScript), then implement a minimal MCP with one or two sample tools, build, and run the server using the recommended transport. Finally validate with the evaluation harness to ensure correct tool interaction and output formatting.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I scaffold an MCP server in TypeScript or Python?

To scaffold an MCP server, you follow standardized project structures, naming conventions, and transport patterns for TypeScript or Python, then implement minimal tools and validate them with an evaluation harness.

What are the best practices for MCP tool registration and schema validation?

Best practices for MCP tool registration involve using Pydantic or Zod to validate input and output schemas, applying annotations, and defining example tool structures to ensure structured and reliable outputs.

Does the MCP builder support both stdio and streamable HTTP transports?

Yes, MCP builder supports both stdio and streamable HTTP transports, providing specific guidance on implementing and testing these communication patterns for your server integrations.

How do I test MCP server tool interactions and structured outputs?

You test MCP server tool interactions and structured outputs by using the provided evaluation harness, which validates correct tool behavior, error handling, and output formatting before deployment.

Can I use this MCP builder to integrate external APIs with structured outputs?

Yes, this MCP builder targets developers building MCP servers for external APIs in TS/JS or Python, enforcing code reuse, pagination, and structured outputs for reliable API integrations.