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mcp-builder

Guide MCP server development with tool schemas and error handling.

Updated May 5, 2026
Search Tags:#typescript#python#tooling#evaluation#mcp#server design#schema validation
One-click install
npx skills add https://github.com/XCmiaow/cc-deploy --skill mcp-builder-xcmiaow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/XCmiaow/cc-deploy/tree/main/skills/mcp-builder
Command: npx skills add https://github.com/XCmiaow/cc-deploy --skill mcp-builder-xcmiaow

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

It helps you design and implement high-quality MCP servers so LLM agents can reliably use external tools to complete real tasks with correct schemas, clear naming, and robust error handling.

Core Features & Use Cases

  • MCP server design workflow: Plan tool coverage, workflow tools vs API coverage, and context handling before coding.
  • Quality standards for tools: Create actionable tool names/descriptions, input/output schemas, pagination, and guided error messages.
  • Implementation guidance for MCP SDKs: Follow recommended TypeScript (SDK + Zod) or Python (FastMCP + Pydantic) patterns.
  • Evaluation creation: Generate stable, read-only evaluation questions to validate that agents can use your tools effectively.

Use Case: Build an MCP server that connects an agent to an external service (e.g., a ticketing system or docs platform) so the agent can search, browse, and retrieve the exact information needed to answer user questions.

Quick Start

Ask Claude to use the mcp-builder skill instructions to produce a new MCP server plan and a skeleton implementation with tools, schemas, and evaluation questions for your target external API.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema
How do I design an MCP server for LLM agents to use external tools reliably?▼

To build an MCP server, plan tool coverage, workflow tools, and context handling before coding to ensure LLM agents interact with external services via reliable schemas and robust error handling.

What's the best way to validate input and output schemas in MCP server development?▼

Validate input and output schemas by following recommended TypeScript SDK patterns with Zod or Python FastMCP patterns with Pydantic to enforce strict data contracts for agent tool usage.

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

MCP server development supports both TypeScript and Python implementations, following MCP specification and SDK best practices for tool naming, pagination, and error handling in either language.

How do I create evaluations to test if agents can use my MCP tools effectively?▼

Create stable, read-only evaluation questions in the provided XML format to validate that agents can successfully use your MCP tools to complete real tasks and retrieve correct information.

Why do my MCP tool names and descriptions fail to guide LLM agents correctly?▼

MCP tool names and descriptions fail when they lack actionable clarity; designing high-quality tool naming, clear descriptions, and guided error messages ensures agents understand and call tools correctly.

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