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mcp-builder

Design MCP server tool interfaces with schemas, pagination, and evaluation sets.

1|Updated Apr 13, 2026
Search Tags:#typescript#mcp#api integration#fastmcp#tool schemas#server evaluation#llm tooling
One-click install
npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill mcp-builder-yahav123147
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/yahav123147/paid-ads-cro-skills/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/yahav123147/paid-ads-cro-skills --skill mcp-builder-yahav123147

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

MCP servers often fail in practice because tools lack clear schemas, naming, pagination behavior, error messages, and evaluation coverage; this guide helps you design and implement MCP servers that reliably enable LLMs to use external services through well-defined tools.

Core Features & Use Cases

  • Tool and protocol design guidance: Align MCP tool naming, descriptions, input/output schemas, and context management with how clients reason about tools.
  • Implementation playbooks for TypeScript and Python: Build MCP servers using recommended SDK patterns (TypeScript SDK and FastMCP-style Python guidance) including validation (Zod/Pydantic), annotations, and transport selection.
  • Quality assurance and evaluations: Create robust evaluation questions and follow a testing workflow that measures whether LLMs can complete realistic multi-step tasks using only your MCP tools.

Quick Start

Use the mcp-builder skill to design your MCP server’s tools, then generate an evaluation plan you can run to verify the server works end-to-end for realistic agent tasks.

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 LLMs can reliably use for API integration?▼

To build a reliable MCP server, you design tool schemas with proper naming, validation, pagination, and actionable errors. This ensures LLM agents can successfully interact with external APIs through well-defined tool interfaces.

What makes an MCP server fail in practice with LLM agents?▼

MCP servers fail when tools lack clear schemas, naming, pagination behavior, error messages, and evaluation coverage. Without these elements, LLM clients cannot reason about the tools effectively to complete real-world tasks.

How do I implement TypeScript and Python MCP servers for LLM tooling?▼

Implement MCP servers using the TypeScript SDK with Zod validation or Python with FastMCP and Pydantic. Follow recommended SDK patterns for schema validation, annotations, and transport selection to support LLM tooling.

How do I create an evaluation set for multi-hop MCP tool usage?▼

Create an evaluation set by writing test questions that measure whether LLMs can complete realistic multi-step tasks using only your MCP tools. Verify the server end-to-end with stable, verifiable answers for read-only multi-hop usage.

Does FastMCP work with Python for building MCP server schemas?▼

Yes, FastMCP works with Python for building MCP servers. It provides guidance for schema validation using Pydantic, allowing you to define tool interfaces and annotations that align with how LLM clients reason about tools.

What is the best way to design MCP tool schemas for LLM agents?▼

The best way to design MCP tool schemas is aligning tool naming, descriptions, input/output schemas, and context management with how clients reason about tools. This prevents failures and enables reliable real-world task completion.

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