mcp-categorical

Community

Categorical patterns for MCP servers.

AuthorHermeticOrmus
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the complexity of building robust and composable AI systems by applying principles from category theory to the Model Context Protocol (MCP). It provides a structured way to design tool interfaces, manage context, and ensure reliable composition of AI tools.

Core Features & Use Cases

  • Categorical Tool Composition: Defines tools as morphisms and composes them using patterns like Kleisli composition and functors.
  • Typed Context Management: Implements context as a product type, ensuring all information is preserved and manageable.
  • Resource Management: Treats external resources as objects with URI-based identity, enabling consistent access and transformation.
  • Use Case: Developing a complex AI agent that needs to fetch data, analyze it, and then generate a report, all while maintaining a consistent understanding of the conversation history and available tools.

Quick Start

Use the mcp-categorical skill to analyze input with categorical structure.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: mcp-categorical
Download link: https://github.com/HermeticOrmus/hermetic-claude/archive/main.zip#mcp-categorical

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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