Swift Tarot MCP Server

@junebash

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

junebash

关于 Swift Tarot MCP Server

A Swift-based MCP (Model Context Protocol) server for tarot card readings

Swift Tarot MCP Server 配置

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代码仓库

Swift Tarot MCP Server 工具

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概览

What is Swift Tarot MCP Server?

Swift Tarot MCP Server is a Model Context Protocol (MCP) server that provides tarot card reading functionality for AI assistants. It allows AI agents to draw tarot cards, perform multi-card readings, and access the complete 78‑card deck. The server is built in Swift and uses seeded random number generation for more reliable randomness than typical LLM behavior.

How to use Swift Tarot MCP Server?

Build and install the server using Swift 5.9+ on macOS 13.0+, then configure it as an MCP tool in Claude Desktop by adding the command swift-tarot-MCP to the claude_desktop_config.json file. After restarting Claude, ask Claude to draw cards or show the deck using natural language (e.g., “Draw me 5 tarot cards”).

Key features of Swift Tarot MCP Server

Draw 1 to 78 tarot cards in a single request
View all 78 cards in the traditional deck
Fetch base64‑encoded images for tarot cards
Uses seeded random number generation for deterministic testing
Comprehensive input validation with proper error handling

Use cases of Swift Tarot MCP Server

AI assistants that provide daily tarot readings to users
Interactive storytelling or role‑playing with symbolic card draws
Testing and debugging MCP tools with deterministic card outputs
Educational apps that display full deck information and card imagery

常见问题

What dependencies are required?

Swift 5.9 or later and macOS 13.0 or later are required.

How do I draw tarot cards?

Ask Claude (or your MCP client) to draw cards using the `draw_cards` tool. You can specify a count between 1 and 78 (default: 1).

Can I see images for the cards?

Yes, use the `fetch_images` tool with an array of tarot card URIs to receive base64‑encoded images.

How does the server handle randomness?

The server uses seeded random number generation, which provides deterministic, testable results while being more reliable than LLM‑inherent randomness.

What transport does the server use?

The server communicates over stdio transport and is configured as a command‑line MCP tool. No authentication or network setup is required.

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