How do I test my MCP server safely?

The skill includes a dedicated evaluation phase that uses a testing harness to verify tool performance without causing the main process to hang during stdio communication.

How does this skill help with AI context limits?

It provides strategies for 'Agent-Centric Design,' teaching you how to return high-signal information and use truncation to ensure agents don't exceed their context windows.

Which programming languages does this skill support?

The mcp-builder skill provides detailed implementation guides for both Python (using FastMCP) and Node.js/TypeScript (using the official MCP SDK).

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized bridge that enables Large Language Models to interact with external services and data through standardized tools.

MCP Server Builder

Name: MCP Server Builder
Author: organvm-iv-taxis

byorganvm-iv-taxis

•

API Development

Guides the development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.

This skill provides a comprehensive framework for building robust MCP servers in Python and TypeScript, focusing on agent-centric design principles. It walks developers through deep research, implementation patterns for FastMCP and the MCP SDK, and rigorous evaluation strategies to ensure tools are optimized for AI agent context windows and task-oriented workflows.

Key Features

01Agent-centric tool design principles

02Multi-language support for Python and TypeScript

03Automated evaluation harness creation guidelines

04Context-optimized response formatting and truncation

05Actionable error handling for LLM self-correction

062 GitHub stars

Use Cases

01Creating robust, testable tool ecosystems for Model Context Protocol

02Integrating internal company APIs with Claude for custom workflows

03Building standardized data connectors for AI agents using FastMCP

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills mcp-builder

For use in Claude.ai and ChatGPT

Key Features

01Agent-centric tool design principles

02Multi-language support for Python and TypeScript

03Automated evaluation harness creation guidelines

04Context-optimized response formatting and truncation

05Actionable error handling for LLM self-correction

062 GitHub stars

Use Cases

01Creating robust, testable tool ecosystems for Model Context Protocol

02Integrating internal company APIs with Claude for custom workflows

03Building standardized data connectors for AI agents using FastMCP

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills mcp-builder

For use in Claude.ai and ChatGPT