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mcp-builder

Build MCP servers in Python and TypeScript with schema validation and transport adapters.

37|25|Updated Jul 6, 2025
Search Tags:#AI tools#API integration#TypeScript#MCP#evaluation#LLM#server development#Python
One-click install
npx skills add https://github.com/basher83/Zammad-MCP --skill mcp-builder-basher83
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/basher83/Zammad-MCP/tree/main/.claude/skills/mcp-builder
Command: npx skills add https://github.com/basher83/Zammad-MCP --skill mcp-builder-basher83

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Developing effective Model Context Protocol (MCP) servers requires a deep understanding of agent-centric design, protocol specifics, and language-specific best practices. This Skill provides comprehensive guidance to overcome these complexities.

Core Features & Use Cases

  • Agent-Centric Design Principles: Learn to build tools optimized for LLM interaction, focusing on workflows, actionable error messages, and context efficiency.
  • Multi-Language Implementation Guides: Provides detailed best practices and examples for both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations.
  • Evaluation Framework: Includes a robust evaluation process to test and refine MCP server effectiveness with realistic, complex questions, ensuring reliable AI-driven interactions.
  • Use Case: When integrating a new external API (e.g., GitHub, Stripe, Zammad) with an AI assistant, use this Skill to design, implement, and test a high-quality MCP server that ensures reliable and efficient AI-driven interactions.

Quick Start

Fetch the latest MCP protocol documentation

WebFetch https://modelcontextprotocol.io/llms-full.txt

Load the Python implementation guide

READ reference/python_mcp_server.md

Run an evaluation against your MCP server

python scripts/evaluation.py -t stdio -c python -a my_mcp_server.py evaluation.xml

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 to connect an LLM with external APIs?▼

Build MCP servers by scaffolding tool registration, input validation, and transport adapters using Python FastMCP or Node/TypeScript MCP SDK. The Skill guides you through agent-centric design, schema validation via Pydantic or Zod, and deployment options like HTTP and stdio to enable LLMs to reliably interact with external services.

Can I use MCP servers with both Python and TypeScript, or do I need to pick one?▼

MCP servers work with both Python (FastMCP) and Node/TypeScript (MCP SDK). This Skill provides multi-language implementation guides and best practices for each, letting you choose the environment that fits your stack and integrate external APIs consistently across platforms.

What's the best way to test and evaluate an MCP server before deploying it?▼

Evaluate MCP servers using the included evaluation framework, which tests server effectiveness with realistic, complex questions to ensure reliable AI-driven interactions. Run evaluations against your implementation via stdio or HTTP transport to validate tool responses and error handling before production deployment.

Do I need to understand the full MCP protocol specification to build a working server?▼

The Skill provides comprehensive guidance that abstracts protocol complexity through agent-centric design principles, pre-built patterns for tool registration and error handling, and language-specific examples. You'll learn conventions and best practices rather than requiring deep protocol expertise upfront.

How do I handle errors and edge cases when building AI tools with MCP?▼

MCP server development includes built-in error handling patterns, actionable error messages for agents, and schema validation via Pydantic or Zod. The Skill enforces tooling conventions that ensure robust error responses and graceful degradation across remote and local deployments.

What transport options are available for deploying MCP servers?▼

MCP servers support multiple transport adapters including streamable HTTP and stdio for both remote and local deployments. This Skill shows how to configure and test each transport option to match your deployment architecture and scalability requirements.

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