12306-mcp: Ticket Search Server with AI API Based on MCP Protocol

12306 MCP

A 12306 ticket purchase search server based on the MCP protocol, providing API interfaces to support AI intelligent query of ticket information

Travel and transportation Developer tools #12306 Ticket Purchase #MCP Service #Intelligent Ticket Selection #Ticket Query .TypeScript

rating : 2.5 points

downloads : 1

update time : 2025-07-23

What is the 12306-MCP Server?

The 12306-MCP server is a ticket purchase search service based on the Model Context Protocol (MCP), allowing users to query 12306 ticket information through simple API interfaces. This server can be integrated with large language models to help users intelligently select tickets, generate visual maps, etc.

How to Use the 12306-MCP Server?

The 12306-MCP server can be started via the command line and configured as an MCP server. Users only need to clone the repository according to the installation steps and run the script to start using it. It supports various usage scenarios, such as querying tickets, generating route maps, comparing ticket prices, etc.

Applicable Scenarios

Suitable for scenarios that require querying 12306 ticket information, such as travel planning, intelligent ticket selection, generating visual maps, and travel guides. It is particularly suitable for integration with large language models to achieve intelligent ticket recommendation and analysis.

Main Features

Ticket QueryProvides the function of querying 12306 ticket information, supporting parameters such as departure place, destination, and date.

Filter Train InformationCan filter train information according to conditions such as price and time to help users find the optimal choice.

Stopover QuerySupports querying detailed stopover information of trains, including the arrival and departure times of each station.

Transfer QuerySupports querying transfer trains, facilitating users to plan multi - leg trips.

Advantages and Limitations

Advantages

Provides a simple and easy - to - use API interface, facilitating integration into various applications.

Supports integration with large language models to achieve intelligent ticket recommendation and analysis.

Supports multiple query methods, such as stopover query and transfer query, meeting different needs.

An open - source project with an active community, easy to expand and maintain.

Limitations

Depends on the 12306 API and may be affected by official restrictions or changes.

Some advanced functions (such as generating travel guides) require additional integration of other services.

The initial configuration may be a bit complicated for non - technical users.

How to Use

Clone the Project

Use git to clone the project to the local machine.

Install Dependencies

Enter the project directory and install the required npm dependencies.

Build the Project

Execute the build command to generate runnable files.

Start the Server

Run the built file to start the 12306-MCP server.

Configure the MCP Server

Add the startup instruction of 12306-MCP to the MCP server configuration file.

Usage Examples

Intelligent Ticket SelectionThe user inputs requirements, such as 'I want to depart from Xi'an to Zhengzhou the day after tomorrow. Please recommend reasonable tickets and recommend return tickets three days later.' The system filters suitable tickets according to the conditions.

Generate a Map of Train StopsThe user requests to generate a map of train stops. The system calls the relevant interface to obtain data and displays a visual map.

Generate a Travel GuideThe user asks for a travel guide for a certain route. The system first tries to search online. If it cannot obtain the information, it calls the text - to - image model to generate a picture.

Frequently Asked Questions

What dependencies does the 12306-MCP server require?

How to update the 12306-MCP server?

Why can't some functions be used?

How to integrate with a large language model?

Related Resources

12306-MCP GitHub Repository

The source code repository of the 12306-MCP server, containing all project files and documentation.

MCP Protocol Documentation

The official documentation of the Model Context Protocol (MCP), explaining its working principle and usage method.

MCP TypeScript SDK

The TypeScript implementation of the MCP protocol, which can be used to develop MCP client applications.

12306-MCP Tutorial

A tutorial on using the 12306-MCP server, covering basic operations and advanced functions.

Canghe Official Account

Follow the Canghe official account to get more information and tutorials about AI, MCP, and other technologies.

🚀 A 12306 Ticket Search Server Based on MCP

A 12306 ticket search server built on the Model Context Protocol (MCP), offering a simple API interface for large models to search 12306 ticket information.

🚀 Quick Start

CLI

npm run build
node ./build/index.js

MCP sever configuration

{
    "mcpServers": {
        "12306-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "12306-mcp"
            ]
        }
    }
}

✨ Features

Function Description	Status
Query 12306 ticket information	✅ Completed
Filter train information	✅ Completed
Query passing stations	✅ Completed
Query transfers	✅ Completed
Other interfaces, welcome to propose features	🚧 Planned

📦 Installation

git clone https://github.com/freestylefly/12306-mcp.git
npm i

💻 Usage Examples

Use in Cursor

It can intelligently select tickets and generate a visual map of the passing stations!

Tutorial: Cursor + 12306 MCP, Achieve AI Intelligent Ticket Selection and Generate Beautiful Websites

Screenshot 1

You can directly open it in the browser using yb.html.

GIF

Create an intelligent agent with Alibaba Cloud Bailian

Tutorial: Alibaba Bailian + 12306 MCP, Create an AI Intelligent Ticket Selection Agent, So Cool!

Screenshot 2

I want to travel from Xi'an to Zhengzhou the day after tomorrow. Please recommend reasonable tickets and also recommend tickets for the return trip three days later.

Screenshot 3

It can also compare the fares of each train and create a chart for a more intuitive view.

Screenshot 4

Similarly, it can generate a map of the train's stopping stations:

Screenshot 5

It can also generate travel guides for the passing stations. My logic here is to first let it search online. If it can't find anything, it will call the text-to-image model to generate images by AI.

Screenshot 6

The image generation MCP built into Alibaba seems to have quite strong capabilities.

Screenshot 7

It almost looks real, haha.

Screenshot 8

To be honest, when sitting on the train and looking at the cities the train passes through and the scenic spots, one can't help but feel a little excited.

Screenshot 9

📚 Documentation

💭 Murmurs

This project is derived from 12306-MCP. Thanks to the author. This project is only for learning purposes. Welcome to urge for updates.

🔗 Friendly Links

mcp-server-weread: 🚀 A 12306 ticket search server based on the Model Context Protocol (MCP). It provides a simple API interface that allows large models to search 12306 ticket information.
12306-MCP: 🚀 A tool that provides MCP (Model Context Protocol) services for WeRead. It supports providing WeRead books, notes, and highlighted data to large language model clients that support MCP, such as Claude Desktop.
CodeCanvas: 📚 This code repository is a technical summary of the author Cang He's many years of front-line Internet Java development learning process. It aims to provide a clear and detailed learning tutorial, with a focus on writing Java core content. 💪🏻
PmHub: 🔥 PmHub is a microservice intelligent project management system based on SpringCloud & LLM. This project aims to help friends quickly master the architecture design and development process of microservice/distributed projects. If you want to get a satisfactory offer in campus recruitment or social recruitment, PmHub will be a very nice choice.

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Official Account

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