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mcp-builder

Design and implement MCP servers for TypeScript or Python SDKs.

Updated Apr 6, 2026
Search Tags:#typescript#evaluation#mcp#schema validation#tool design#llm integration#fastmcp
One-click install
npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill mcp-builder-daanteijema-beep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/daanteijema-beep/ai-gids-platform/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/daanteijema-beep/ai-gids-platform --skill mcp-builder-daanteijema-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you design and build high-quality MCP (Model Context Protocol) servers so LLM agents can reliably use tools to accomplish real tasks through external services.

Core Features & Use Cases

  • End-to-end MCP design guidance: Covers MCP architecture, tool/resource/prompt considerations, and how to plan tool coverage for real workflows.
  • Implementation quality checklist: Provides practical requirements for tool naming, schemas, pagination, error handling, and response formatting for both TypeScript and Python.
  • Testing and evaluation workflow: Guides you to validate that tool descriptions and structured I/O enable correct agent behavior using MCP Inspector and evaluation harnesses.
  • Reference-driven building: Points to best practices and SDK documentation so you can implement deterministic, agent-friendly servers in FastMCP or the TypeScript MCP SDK.

Quick Start

Tell your AI to “Using the MCP Server Development Guide, help me plan a TypeScript MCP server for my service API by listing the most important tools, designing Zod input schemas with actionable descriptions, and outlining how to return structuredContent plus pagination and read-only safety hints.”

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 that LLM agents can reliably use for external services?▼

To build a reliable MCP server, you design well-defined tools using TypeScript or Python SDKs, applying schema validation, pagination, and actionable error handling. This ensures deterministic structured outputs and clear tool discoverability for agent workflows.

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

The best way to design MCP tool schemas is using an evaluation-first approach with Zod input schemas and actionable descriptions. You must ensure deterministic structured outputs, SDK-aligned patterns, and clear tool naming to enable correct agent behavior.

Does MCP server development support both TypeScript and Python SDKs?▼

Yes, MCP server development supports both TypeScript and Python SDKs, including FastMCP. You can implement deterministic, agent-friendly servers by following SDK documentation and best practices for clear tool discoverability in either language.

How do I test and evaluate MCP tools to ensure correct agent behavior?▼

You test and evaluate MCP tools by using MCP Inspector and evaluation harnesses. This evaluation-first workflow validates that your tool descriptions and structured I/O effectively enable correct, deterministic behavior when LLM agents interact with your external services.

Why do my LLM agents fail to correctly use my MCP server tools?▼

LLM agents often fail to use MCP server tools due to poor tool discoverability, missing schema validation, or non-deterministic outputs. Fixing this requires actionable error handling, structuredContent, pagination, and an evaluation-first approach using MCP Inspector.

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