This project provides a 12306 ticket search server designed for integration with large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to query and filter train ticket information, including direct, transit, and stopover searches, offering a streamlined way for AI agents to access real-time travel data.

How It Works

The server acts as an intermediary, translating LLM requests into queries against the 12306 railway system. It leverages the Model Context Protocol (MCP) to define a standardized API for LLM interaction. This approach allows LLMs to programmatically search for train tickets, filter results based on various criteria, and retrieve detailed information without needing direct access to the underlying 12306 system's complexities.

Quick Start & Requirements

• Install: npm i (after cloning the repository)
• Run: npx -y 12306-mcp
• Prerequisites: Node.js and npm.
• Documentation: 服务原理详解, 架构图

Highlighted Details

• Supports direct, transit, and stopover train searches.
• Provides a simple API interface for LLM integration.
• Built with TypeScript.
• References the Model Context Protocol and its TypeScript SDK.

Maintenance & Community

• Last commit: See GitHub
• Project is for learning purposes; feature requests are welcome.

Licensing & Compatibility

• License: MIT
• Compatible with commercial use and closed-source linking.

Limitations & Caveats

The project is primarily for learning and may not be suitable for production environments without further testing and validation. Additional features are planned.