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mcp-builder

Build MCP servers in TypeScript or Python with validated schemas and evaluation plans.

1|Updated Mar 13, 2026
Search Tags:#typescript#mcp#api integration#model context protocol#tool design#fastmcp#llm agent evaluation
One-click install
npx skills add https://github.com/pferretti99/learnshareremix-2026-labcamp-cursor-vs-copilot --skill mcp-builder-pferretti99
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/pferretti99/learnshareremix-2026-labcamp-cursor-vs-copilot/tree/main/skills/anthropic-official/skills/mcp-builder
Command: npx skills add https://github.com/pferretti99/learnshareremix-2026-labcamp-cursor-vs-copilot --skill mcp-builder-pferretti99

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 build high-quality MCP servers so LLM agents can reliably discover tools, provide correct inputs, and accomplish real tasks using external APIs and services.

Core Features & Use Cases

  • Tool and workflow design: Prioritizes choosing the right balance of comprehensive API coverage vs task-focused workflow tools.
  • MCP protocol correctness: Guides you through key MCP concepts (tools/resources/prompts, transports, and architecture).
  • Implementation quality: Emphasizes input/output schemas, tool naming discoverability, pagination, actionable errors, and annotations like readOnlyHint and destructiveHint.
  • Evaluation readiness: Shows how to create stable, read-only evaluation questions that stress tool usefulness and agent reasoning.

Use case example: You need an MCP server that lets an LLM search and navigate an external system (e.g., issues, projects, or tickets) to answer complex questions end-to-end with multiple tool calls and verifiable outputs.

Quick Start

Use the mcp-builder skill to plan and draft an MCP server with well-described tools, validated schemas, consistent error messages, and an evaluation XML that tests whether the tools enable realistic multi-step Q&A.

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 in TypeScript that integrates an external API?▼

Build an MCP server in TypeScript using the MCP SDK by defining validated input/output schemas, tool annotations, and streamable HTTP or stdio transports to integrate external APIs for LLM agents.

What makes an MCP tool discoverable and usable for an LLM agent?▼

An MCP tool is discoverable for an LLM agent when it uses precise tool naming, clear descriptions, validated schemas, actionable error messages, and annotations like readOnlyHint and destructiveHint.

Can I use FastMCP to implement a Model Context Protocol server in Python?▼

Yes, you can implement a Model Context Protocol server in Python using FastMCP, applying the same tool design, pagination, and structured output guidance as the TypeScript MCP SDK.

How do I create an evaluation plan for my MCP server tools?▼

Create an MCP server evaluation plan by defining stable, read-only QA pairs that stress tool usefulness and require verifiable multi-step reasoning from the LLM agent.

How should I handle pagination and errors in MCP server tool design?▼

Handle MCP server pagination and errors by returning structured outputs with actionable error messages that guide the LLM agent to correct its inputs and complete the task.

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