Where does the skill save the new files?

The skill follows a specific architectural pattern, saving logic in src/features and configuration/definitions in src/definitions to keep the codebase organized.

Does this skill support input validation?

Yes, it uses Zod to define input schemas for Tools and Prompts, ensuring that the data passed between Claude and your server is type-safe and validated.

What are MCP primitives?

MCP primitives are the core building blocks of the Model Context Protocol, consisting of Tools (executable functions), Resources (static or dynamic data), and Prompts (templated instructions).

Do I have to manually register new tools or resources?

No, the skill is designed to automatically handle the registration of new primitives in the appropriate index files, making them immediately available to the MCP server.

MCP Primitive Builder

Name: MCP Primitive Builder
Author: masseater

bymasseater

API開発

Streamlines the addition of Tools, Resources, and Prompts to Model Context Protocol (MCP) servers.

概要

The MCP Primitive Builder skill is designed to accelerate the development of MCP servers by providing standardized templates and automated workflows for adding new primitives. It guides Claude to create feature-specific logic, define schemas using Zod for type-safe validation, and handle the necessary registration steps within the project architecture. Whether you are building custom API integrations (Tools), exposing local data (Resources), or crafting reusable AI workflows (Prompts), this skill ensures consistency and reduces boilerplate code in MCP-compliant projects.

主な機能

Implements URI-based MCP Resources for data exposure
Automates registration in central definition files to prevent manual errors
Scaffolds type-safe MCP Tools with Zod schema validation
Enforces a clean, feature-based directory structure for better maintainability
Creates reusable MCP Prompt templates for structured AI interactions
0 GitHub stars

ユースケース

Extending an MCP server with new external API capabilities via Tools
Standardizing complex multi-step AI workflows using pre-defined Prompts
Exposing local documentation or datasets to an AI agent through Resources

概要

主な機能

Implements URI-based MCP Resources for data exposure
Automates registration in central definition files to prevent manual errors
Scaffolds type-safe MCP Tools with Zod schema validation
Enforces a clean, feature-based directory structure for better maintainability
Creates reusable MCP Prompt templates for structured AI interactions
0 GitHub stars

ユースケース

Extending an MCP server with new external API capabilities via Tools
Standardizing complex multi-step AI workflows using pre-defined Prompts
Exposing local documentation or datasets to an AI agent through Resources