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mcp-builder

Create MCP server development guides for Python and TypeScript implementations.

Updated Mar 19, 2026
Search Tags:#typescript#python#sdk#evaluation#mcp#server#tool-design
One-click install
npx skills add https://github.com/congthang12312/Sentinel-AI-test --skill mcp-builder-congthang12312
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/congthang12312/Sentinel-AI-test/tree/main/.agent/skills/mcp-builder
Command: npx skills add https://github.com/congthang12312/Sentinel-AI-test --skill mcp-builder-congthang12312

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp.

What problem does it solve?

MCP server development guides how to create self-contained MCP servers that expose tools to LLMs, simplifying integration with external services and ensuring consistent tooling design.

Core Features & Use Cases

  • End-to-end MCP server workflows (Phase 1 research, Phase 2 implementation, Phase 3 review, Phase 4 evaluations)
  • Tool design patterns, SDK usage for Python and TypeScript, resource provisioning
  • Evaluation-ready with a structured approach to read-only testing, pagination, and error handling

Quick Start

Initialize a Python MCP server named after your service, register a basic read-only tool, and verify the tool invocation.

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 expose tools to LLMs?▼

To build an MCP server, you create a self-contained service using the Python or TypeScript SDK that registers tools and exposes them to LLMs. This skill guides you through tool design, API integration, and structured validation to ensure consistent tooling.

What is the best way to design tools for an MCP server?▼

The best way to design tools for an MCP server is using modular tool design patterns validated by Pydantic or Zod schemas. This approach enforces structured validation, read-only testing, and consistent error handling across your LLM integrations.

Can I implement an MCP server using both Python and TypeScript?▼

Yes, you can implement an MCP server using both Python and TypeScript. This skill provides end-to-end workflows covering SDK usage, resource provisioning, and evaluation testing for both languages to simplify external service integration.

How do I evaluate and test MCP server tools before deployment?▼

You evaluate MCP server tools through a structured Phase 4 evaluation workflow that includes read-only testing, pagination checks, and error handling validation. This ensures your tools function correctly and safely within LLM integrations.

Do I need Pydantic or Zod schemas to build an MCP server?▼

You need Pydantic for Python or Zod for TypeScript schemas to build an MCP server using this skill. These schemas enforce structured validation and modular tool design best practices defined by the official MCP SDK guidelines.

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