Where are the new files created?

The skill follows a specific directory structure, placing logic in src/features and definitions/registrations in src/definitions/tools, resources, or prompts.

Does this skill help with input validation?

Yes, it utilizes Zod to define strict input schemas for tools and argument schemas for prompts, ensuring type safety and reliable AI interactions.

What are MCP Primitives?

MCP Primitives are the fundamental components of the Model Context Protocol, consisting of Tools (executable functions), Resources (data sources), and Prompts (reusable templates).

How does it handle tool registration?

It automates a three-step process: creating the feature logic, defining the tool's interface, and registering it in the main index file for discovery by the MCP client.

Is this compatible with any MCP server?

This skill is specifically designed for TypeScript-based MCP servers that use a modular definition pattern similar to the scrapbox-mcp architecture.

MCP Primitive Generator

Name: MCP Primitive Generator
Author: masseater

bymasseater

API Development

Extends MCP servers by automatically generating and registering new tools, resources, and prompts using standardized TypeScript patterns.

About

The MCP Primitive Generator skill streamlines the development of Model Context Protocol (MCP) servers by providing a structured workflow for adding new capabilities. It automates the creation of feature logic, schema definitions using Zod, and the necessary registration steps for Tools, Resources, and Prompts. By enforcing a consistent file structure and implementation pattern, it ensures your MCP server remains modular and maintainable, making it significantly easier to expand the range of data and actions available to Claude.

Key Features

Standardized resource definition and registration workflow
Organized file-based feature architecture
0 GitHub stars
Seamless integration with existing MCP server definitions
Automated MCP tool creation with Zod-based input validation
Structured prompt template generation for AI interactions

Use Cases

Adding custom functional tools to an MCP server to extend Claude's capabilities
Defining reusable prompt templates for complex multi-step AI workflows
Exposing external data sources or documentation as accessible MCP resources

About

Key Features

Standardized resource definition and registration workflow
Organized file-based feature architecture
0 GitHub stars
Seamless integration with existing MCP server definitions
Automated MCP tool creation with Zod-based input validation
Structured prompt template generation for AI interactions

Use Cases

Adding custom functional tools to an MCP server to extend Claude's capabilities
Defining reusable prompt templates for complex multi-step AI workflows
Exposing external data sources or documentation as accessible MCP resources