What is the Model Context Protocol (MCP)?

MCP is an open standard that enables LLMs like Claude to securely interact with external data sources, tools, and services through a standardized interface.

Can I build both local and remote MCP servers?

Yes, the guide covers implementation for local servers via stdio transport and remote servers via streamable HTTP.

Does it help with data schema validation?

Yes, it provides implementation patterns for Zod in TypeScript and Pydantic in Python to ensure structured, typed, and reliable data exchange between the LLM and the server.

Which programming languages are supported by this builder?

This skill provides comprehensive guidance for both TypeScript (using the MCP SDK) and Python (using the FastMCP framework).

How does this skill help with testing?

It includes specific phases for code quality review using the MCP Inspector and detailed instructions for creating robust evaluation scripts to verify tool performance.

MCP Server Builder

Name: MCP Server Builder
Author: BA-CalderonMorales

byBA-CalderonMorales

Desarrollo de API

Builds high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services.

Acerca de

This skill provides a comprehensive, end-to-end framework for developing MCP servers, enabling Claude to interact seamlessly with third-party tools and data. It guides developers through the entire lifecycle—from deep research and protocol mapping to implementation using TypeScript or Python SDKs, schema definition with Zod or Pydantic, and robust testing using the MCP Inspector. Whether you are building local stdio servers or remote streamable HTTP servers, this skill ensures your tools are discoverable, reliable, and capable of handling complex real-world tasks with actionable error handling and optimized context management.

Características Principales

Guidance on transport selection (stdio vs. streamable HTTP)
Schema design patterns using Zod (TypeScript) and Pydantic (Python)
Automated evaluation generation for testing tool effectiveness
End-to-end MCP server development lifecycle management
Tool naming and discoverability best practices
0 GitHub stars

Casos de Uso

Connecting Claude to internal proprietary APIs for custom enterprise workflows
Building standardized interfaces for remote databases and cloud services
Creating local developer tools that extend Claude's capabilities via stdio

Acerca de

Características Principales

Guidance on transport selection (stdio vs. streamable HTTP)
Schema design patterns using Zod (TypeScript) and Pydantic (Python)
Automated evaluation generation for testing tool effectiveness
End-to-end MCP server development lifecycle management
Tool naming and discoverability best practices
0 GitHub stars

Casos de Uso

Connecting Claude to internal proprietary APIs for custom enterprise workflows
Building standardized interfaces for remote databases and cloud services
Creating local developer tools that extend Claude's capabilities via stdio