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mcp-builder

Guide MCP server building with tool schemas, resource URIs, and transport choices.

Updated May 19, 2026
Search Tags:#security#mcp#server architecture#tool design#structured output#resource patterns#input schema
One-click install
npx skills add https://github.com/TimeKast/AgendaInteligente --skill mcp-builder-timekast
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/TimeKast/AgendaInteligente/tree/main/.agent/skills/mcp-builder
Command: npx skills add https://github.com/TimeKast/AgendaInteligente --skill mcp-builder-timekast

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design MCP servers so AI assistants can call well-defined tools, read the right resources, and respond with predictable structured outputs—without brittle interfaces or unclear error behavior.

Core Features & Use Cases

  • Tool design principles: Create action-oriented, single-purpose tools with validated input schemas and structured JSON outputs.
  • Resource pattern guidance: Model data access with static, dynamic, and parameterized resource URIs for docs, templates, and collections.
  • Production-ready server concerns: Cover transport choices (stdio, SSE, WebSocket), error handling, multimodal payload support, configuration, security, and testing strategies.

Quick Start

Ask the AI to design an MCP server interface for your data source by specifying your desired tools, resource URIs, expected input schemas, and output format, and then verify that the design includes structured errors and validation.

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 with structured tool outputs and validated inputs?▼

To design an MCP server, you create action-oriented, single-purpose tools with validated input schemas and structured JSON outputs. This ensures AI assistants can call well-defined tools and respond with predictable outputs without brittle interfaces.

How should I model resource URI patterns for an MCP server?▼

Modeling resource URI patterns for an MCP server involves using static, dynamic, and parameterized URIs for docs, templates, and collections. This pattern guidance helps AI assistants read the right resources and access data predictably.

What transport options are available when building MCP servers?▼

Available transport choices for building MCP servers include stdio, SSE, and WebSocket. Selecting the right transport is a production-ready server concern that impacts how AI assistants communicate with your tools and resources.

How do I handle errors and security validation in MCP server architecture?▼

Handling errors and security validation in MCP server architecture involves implementing structured error behaviors and safe configuration via environment variables. This prevents unclear error behavior and ensures dependable AI tool usage.

What is the best way to test MCP server tool contracts?▼

The best way to test MCP server tool contracts is to verify that your design includes structured errors, schema-validated inputs, and testable contract behaviors. This ensures your tools remain dependable and discoverable for AI assistants.

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