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mcp-builder

Guide MCP server development in Python and Node/TypeScript with tool design and evaluation.

Updated Mar 2, 2026
Search Tags:#typescript#python#api development#mcp#tool design#llm integration#server implementation
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill mcp-builder-dmt123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/DMT123/claude-skills-collection/tree/main/core/mcp-builder
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill mcp-builder-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide and best practices for developing high-quality Model Context Protocol (MCP) servers, enabling LLMs to interact seamlessly with external services and APIs.

Core Features & Use Cases

  • MCP Server Development: Learn how to build MCP servers in Python or Node/TypeScript.
  • Tool Design & Implementation: Understand best practices for naming, schema design, and implementation of MCP tools.
  • Testing & Evaluation: Create robust evaluations to ensure your MCP server effectively serves LLM interactions.
  • Use Case: You need to build a new MCP server that exposes your company's internal project management API to an LLM. This Skill guides you through planning, implementation, testing, and evaluation.

Quick Start

Follow the guide to implement a new MCP server for your service.

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 expose my API to an LLM?▼

You can build MCP servers using Python (FastMCP) or Node/TypeScript (MCP SDK) by defining well-structured tool schemas and implementing best practices for LLM-accessible APIs.

What is the Model Context Protocol used for in LLM integration?▼

The Model Context Protocol (MCP) is used to enable LLMs to interact seamlessly with external services and APIs. It provides a standardized way to expose internal company APIs and external tools to language models through structured server implementations.

Can I use TypeScript and Python to implement MCP tools?▼

Yes, you can implement MCP tools in both Python using FastMCP and Node/TypeScript using the MCP SDK. Both approaches guide you through tool design, schema definition, and creating structured responses for LLM interactions.

What are the best practices for MCP tool design and schema creation?▼

Best practices for MCP tool design include following proper naming conventions, creating well-defined schemas, and implementing structured responses. This ensures your MCP server effectively exposes APIs to LLMs through clear, accessible tool definitions.

How do I test and evaluate an MCP server for LLM interactions?▼

You test and evaluate an MCP server by creating robust evaluations that ensure your tools effectively serve LLM interactions. This involves validating that your server implementation correctly exposes APIs and returns properly structured responses to language models.

Do I need the Anthropic dependency to develop MCP servers?▼

Yes, developing MCP servers requires the Anthropic dependency alongside the MCP dependency. These provide the foundational SDK and protocol support needed to implement LLM-integrated servers that expose your APIs to language models.

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