mcp-builder

Create MCP servers with Python FastMCP and Node/TypeScript MCP SDK.

Updated Nov 18, 2025
One-click install
npx skills add https://github.com/deangilmoreremix/videoremix.vip2 --skill mcp-builder-deangilmoreremix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/deangilmoreremix/videoremix.vip2/tree/main/.kilo/skills/mcp-builder
Command: npx skills add https://github.com/deangilmoreremix/videoremix.vip2 --skill mcp-builder-deangilmoreremix

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

MCP Builder provides a comprehensive, practical guide and tooling for building high-quality Model Context Protocol (MCP) servers so LLMs can reliably interact with external APIs and services without fragile integrations or ambiguous tool interfaces.

Core Features & Use Cases

  • Agent-Centric Tool Design: Guidance on building workflow-oriented tools rather than thin API wrappers, with examples for consolidating operations into high-value actions.
  • Language-Specific Implementation Guides: Detailed best practices and examples for Python (FastMCP + Pydantic v2) and Node/TypeScript (MCP SDK + Zod) including input validation, annotations, and response formats.
  • Testing & Evaluation Harness: Scripts and documentation to create deterministic, read-only evaluations, run an evaluation harness, and measure tool effectiveness with Claude/Anthropic integration.
  • Operational Requirements: Patterns for pagination, character limits, error messaging, transport choices (stdio/sse/http), security practices, and lifecycle management.

Quick Start

Implement your MCP server following the language-specific guide, register validated tools with clear docstrings and annotations, then run the included evaluation harness to verify behavior.

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 exposes validated tools for LLMs?

You build MCP servers by registering workflow-oriented tools with structured input validation using Python FastMCP and Pydantic v2 or Node TypeScript MCP SDK with Zod, ensuring clear annotations and deterministic responses for LLM interactions.

What is the best way to design MCP tools instead of thin API wrappers?

Designing MCP tools requires consolidating API operations into high-value, agent-centric actions. MCP Builder provides guidance for building workflow-oriented tools that let LLMs interact with external services reliably without ambiguous interfaces.

Can I use TypeScript and Python to create Model Context Protocol servers?

Yes, Model Context Protocol servers can be created using Python with FastMCP and Pydantic v2 or Node TypeScript with MCP SDK and Zod. Both language implementations support registering validated tools with clear docstrings and annotations.

How do I run an evaluation harness to test MCP server tool effectiveness?

You run an evaluation harness by executing included scripts that perform deterministic, read-only evaluations to measure tool effectiveness with Claude and Anthropic integration, verifying MCP server behavior through evaluation-driven quality checks.

What transport options and operational patterns does an MCP server need?

MCP servers require configuring transport options across stdio, sse, and http, alongside operational patterns for pagination, character limits, error messaging, security practices, and lifecycle management to ensure stable external API integration.

Why do my LLM tools fail when interacting with external APIs?

LLM tools fail from fragile integrations and ambiguous tool interfaces. Building production-grade MCP servers with structured input validation, pagination, and clear tool annotations resolves these issues for reliable external service interaction.