What are 'Evaluations' in the context of this skill?

Evaluations are sets of realistic questions and verifiable answers used to test whether an LLM can successfully navigate your MCP server's tools to solve complex tasks.

How does this skill improve tool discoverability?

It provides strict naming conventions and description patterns that ensure AI agents can correctly identify and select the right tool for a specific user request.

Can I use this for local development?

Absolutely. It includes guides for setting up stdio-based local servers and testing them using the MCP Inspector tool.

Does this skill support both Python and TypeScript?

Yes, it provides specific implementation patterns and best practices for the TypeScript SDK as well as the Python-based FastMCP framework.

What is the Model Context Protocol (MCP)?

MCP is an open standard that allows developers to provide a secure, standardized way for AI models like Claude to interact with external data sources and tools.

MCP Server Builder

Name: MCP Server Builder
Author: oabdelmaksoud

byoabdelmaksoud

0•

API開発

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

The MCP Server Builder skill provides a comprehensive framework for developing robust Model Context Protocol servers in both Python and TypeScript. It guides developers through the entire lifecycle of server creation—from initial API research and tool naming strategy to implementation using FastMCP or the TypeScript SDK. By focusing on actionable error messages, efficient context management, and standardized response formats, this skill ensures that the resulting integrations are highly discoverable and reliable for AI agents like Claude.

主な機能

01Automated evaluation generation to verify tool effectiveness with realistic QA pairs

020 GitHub stars

03Support for both stdio (local) and streamable HTTP (remote) transport mechanisms

04Integrated testing protocols using the MCP Inspector for rapid debugging

05Standardized workflows for tool naming, schema design, and error handling

06Comprehensive implementation guides for TypeScript (SDK) and Python (FastMCP)

ユースケース

01Developing public MCP servers for SaaS platforms to expand their AI ecosystem compatibility

02Building custom integrations for internal business tools to enable AI-driven workflows

03Refactoring existing API wrappers into standardized MCP tools to improve LLM reasoning success rates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/agention mcp-builder

For use in Claude.ai and ChatGPT