mcp-builder

Bootstrap, extend, and run MCP servers for Python and Node/TypeScript.

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/pchemguy/Dummy --skill mcp-builder-pchemguy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/pchemguy/Dummy/tree/main/docs/AgentSkills/anthropics/skills/skills/mcp-builder
Command: npx skills add https://github.com/pchemguy/Dummy --skill mcp-builder-pchemguy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Guides and patterns for constructing high-quality MCP servers that let LLMs interact with external services via well-defined tools, with strong validation, security, and maintainable architectures.

Core Features & Use Cases

  • Phase-driven development lifecycle (Plan, Implement, Review, Evaluate) for MCP servers
  • Tool registration with input/output schemas, annotations, and pagination
  • Cross-language support for Python (FastMCP) and Node/TypeScript (MCP SDK)
  • Built-in evaluation and quality guidelines to ensure robust deployments
  • Real-world use case: expose a set of tools to external APIs and progressively test with tooling inspectors

Quick Start

Begin by following the Phase 1–4 workflow to build and evaluate a functioning MCP server using the Python or TypeScript SDKs.

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 tool registration and input validation?

To build an MCP server, follow a phase-driven workflow covering planning, implementation, review, and evaluation. You register tools with input and output schemas, enforce runtime input validation, and apply pagination to ensure robust deployments.

What is the best way to structure MCP server development across Python and TypeScript SDKs?

The best way to structure MCP server development is using a phase-driven lifecycle. This approach supports cross-language implementation with Python FastMCP and Node TypeScript SDKs, ensuring maintainable architectures and consistent tool catalogs across environments.

Does the MCP SDK support secure transport patterns and structured outputs for LLM interactions?

Yes, the MCP SDK supports secure transport patterns and structured outputs. It enforces runtime validation and error handling to let LLMs safely interact with external services via well-defined tools and resources.

Can I evaluate and test MCP servers using built-in quality guidelines?

Yes, you can evaluate MCP servers using a ready-to-use evaluation framework. This includes testing with tooling inspectors to progressively validate tool catalogs and ensure robust deployments before production release.

How does tool registration work when exposing external APIs to LLMs via an MCP server?

Tool registration works by defining input and output schemas, annotations, and pagination for external APIs. This structured approach allows LLMs to interact with external services predictably while maintaining strong security and validation.