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mcp-builder

Build MCP servers exposing validated, agent-friendly tools for external APIs.

1|Updated Apr 6, 2026
Search Tags:#typescript#python#llm#tooling#evaluation#mcp#mcp server
One-click install
npx skills add https://github.com/pkoka888/server-infra-templates --skill mcp-builder-pkoka888
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/pkoka888/server-infra-templates/tree/main/.kilo/skills/marketplace/mcp-builder
Command: npx skills add https://github.com/pkoka888/server-infra-templates --skill mcp-builder-pkoka888

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides a comprehensive, opinionated guide and templates to design, implement, test, and evaluate MCP (Model Context Protocol) servers so LLMs can reliably interact with external APIs and services via well-formed tools.

Core Features & Use Cases

  • Agent-centered tool design: Guidance on designing workflow-oriented tools, input/output schemas, concise responses, actionable errors, and agent-optimized workflows.
  • Language-specific implementations: Step-by-step best practices and examples for Python (FastMCP + Pydantic) and Node/TypeScript (MCP SDK + Zod) implementations, including project structure and build/run patterns.
  • Evaluation and quality tooling: An evaluation harness, example evaluation format, connection helpers, and checklists for pagination, truncation, security, and transport selection to validate agent performance.

Quick Start

Follow the four-phase process: research the API and MCP docs, plan tool schemas and shared utilities, implement tools per the language guide, then run the provided evaluation harness and refine based on results.

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 for LLM tooling?▼

Building an MCP server involves following a four-phase process: researching the API, planning tool schemas, implementing tools via Python or TypeScript, and running an evaluation harness to refine agent performance.

What is the best way to design agent-friendly MCP tools?▼

Designing agent-friendly MCP tools requires focusing on workflow-oriented schemas, concise responses, actionable errors, and pagination metadata to optimize LLM interactions with external services.

Can I use FastMCP and Zod to implement MCP server validations?▼

Yes, FastMCP with Pydantic in Python and the MCP SDK with Zod in Node/TypeScript provide input validation schemas and async transport options for building validated MCP servers.

Does the MCP server blueprint support SSE and HTTP transport?▼

Yes, the MCP server blueprint supports async transport options including stdio, SSE, and HTTP, allowing flexible API integration choices for your specific environment.

How do I evaluate MCP server performance for LLM agents?▼

You evaluate MCP server performance using a provided evaluation harness, example formats, and connection helpers to validate pagination, truncation, security, and transport selection for agent interactions.

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