What is the benefit of using streamable HTTP vs stdio transport?

stdio is ideal for local servers running on the same machine as the client, while streamable HTTP is better for remote servers that require scaling and stateless maintenance.

How do I ensure my tools are discoverable by Claude?

The skill recommends using clear, action-oriented prefixes (e.g., github_list_repos) and detailed descriptions for both the tool and its individual parameters.

How do I test the functionality of my MCP server?

The guide provides instructions on using the MCP Inspector (npx @modelcontextprotocol/inspector) to verify tool registration, execution, and output schemas.

What is an MCP server?

A Model Context Protocol (MCP) server acts as a bridge between LLMs and external services, providing tools and resources that the AI can interact with securely.

Which programming languages are supported by this skill?

The MCP Builder skill provides detailed implementation patterns for both TypeScript (using the MCP SDK) and Python (using the FastMCP framework).

MCP Server Builder

Name: MCP Server Builder
Author: BbgnsurfTech

byBbgnsurfTech

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API Development

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

About

This skill provides a comprehensive framework for building robust MCP servers using either TypeScript or Python. It leads developers through deep research, project setup, and tool implementation with proper schemas (Zod/Pydantic), while emphasizing discovery-friendly naming conventions and context management. By following this guide, developers can create high-performance integrations that enable AI agents to effectively navigate external datasets, manage complex workflows, and execute tasks with actionable error handling.

Key Features

Integration with MCP Inspector for testing and debugging
Standardized tool naming and discoverability strategies
3 GitHub stars
Multi-language support for TypeScript (MCP SDK) and Python (FastMCP)
Comprehensive guidance on Zod and Pydantic schema definitions
Structured evaluation framework for verifying server effectiveness

Use Cases

Optimizing existing MCP servers for better agent reasoning and discovery performance
Developing standardized tools for AI agents to interact with third-party SaaS platforms
Building custom connectors for internal company APIs and private databases

About

Key Features

Integration with MCP Inspector for testing and debugging
Standardized tool naming and discoverability strategies
3 GitHub stars
Multi-language support for TypeScript (MCP SDK) and Python (FastMCP)
Comprehensive guidance on Zod and Pydantic schema definitions
Structured evaluation framework for verifying server effectiveness

Use Cases

Optimizing existing MCP servers for better agent reasoning and discovery performance
Developing standardized tools for AI agents to interact with third-party SaaS platforms
Building custom connectors for internal company APIs and private databases