What programming languages does the MCP Server Builder skill support?

This skill provides specific implementation guides for both TypeScript (using the official MCP SDK) and Python (using the FastMCP framework).

Can I use this to wrap existing REST APIs?

Yes, the skill includes patterns for creating API clients with authentication, error handling, and pagination support to bridge traditional APIs with the MCP standard.

How does this skill help with tool discoverability?

It provides best practices for action-oriented tool naming, clear parameter descriptions, and context management strategies that help LLMs identify the right tool for the job.

Does it include a way to test my MCP server?

Yes, it includes a dedicated Evaluation Phase (Phase 4) with a framework for creating complex, verifiable QA pairs to test how well an LLM uses your tools.

MCP Server Builder

Name: MCP Server Builder
Author: icartsh

byicartsh

0•

API 개발

Provides a comprehensive framework and guided workflow for developing high-quality Model Context Protocol (MCP) servers to connect LLMs with external services.

MCP Server Builder is a specialized skill designed to streamline the creation of Model Context Protocol (MCP) servers using TypeScript or Python. It guides developers through the entire lifecycle of MCP development—from deep research and API planning to implementation with robust error handling and automated evaluation. By following structured patterns for tool naming, context management, and schema definition, this skill ensures that external services are integrated in a way that is highly discoverable and reliable for AI agents, allowing Claude to interact seamlessly with custom APIs and databases.

주요 기능

01Implementation patterns for robust schema validation using Zod and Pydantic.

02Framework for creating XML-based evaluations to measure LLM tool-calling effectiveness.

03Step-by-step workflow for TypeScript (MCP SDK) and Python (FastMCP) development.

04Guidance on balancing API coverage with specialized high-level workflow tools.

050 GitHub stars

06Standardized error handling strategies to provide actionable feedback to AI agents.

사용 사례

01Building a custom MCP server to connect internal company APIs to Claude Code.

02Creating automated test suites to verify the reliability of complex multi-step tool workflows.

03Standardizing existing API integrations into the Model Context Protocol format for better AI discoverability.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add icartsh/icartsh_plugin mcp-builder

For use in Claude.ai and ChatGPT