China 12306 Train Tickets MCP
MCP serverProductivityCheck China Railway 12306 train schedules and seat availability through your AI. Once added, your AI can look up which trains run between stations and whether seats are still open, using Chinese station names. Community-maintained.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, ask your AI about a trip using Chinese station names, such as which trains run between two stations and what seats are left.
Then ask your AI: use China 12306 Train Tickets MCP to query train tickets
What your AI can do with it
- Look up train schedules between two stations
- Check which seats are still available on a train
- Search using Chinese station names
- Find departure times for a route
From the project's README
As published by boy-373/12306-train-mcp in README.md.
Query China Railway 12306 ticket availability from any MCP client — train schedules and remaining seats by Chinese station name and date. Read-only, no booking, no account.
- Try it in 30 seconds: a free public MCP endpoint is already running — just paste the URL into your MCP client (no install, no API key).
- Or self-host: a single Python file, stdlib HTTP + FastMCP, zero paid dependencies.
⚡ Use the hosted endpoint (no setup)
https://mcp.pianam.cn/train-mcp/mcp
Transport: Streamable HTTP (MCP 2025-03-26 compatible). No authentication required.
🔌 Client configuration
Add this to your MCP client's mcpServers configuration (Claude Desktop claude_desktop_config.json, Cursor mcp.json, Cline, Cherry Studio, etc.):
{
"mcpServers": {
"12306-train": {
"type": "http",
"url": "https://mcp.pianam.cn/train-mcp/mcp"
}
}
}
Clients that do not accept
"type": "http"(some Cherry Studio / older Cline versions) accept the same entry with just"url".
🧰 Tools
| Tool | Parameters | Returns |
|---|---|---|
query_train_tickets(from_city, to_city, date="") | from_city / to_city: Chinese city or station names, e.g. "青岛", "北京南".date: YYYY-MM-DD; empty defaults to tomorrow. 12306's booking window is usually 15 days. | Train list with train number, departure/arrival stations & times, duration, and remaining seats per class (business/first/second class, soft/hard sleeper, hard seat, no-seat). |
search_station(keyword) | keyword: e.g. "北京". | Fuzzy-matches station names (returns up to 30: 北京, 北京南, 北京西, 北京北 …) when you are not sure which station to use. |
📡 Data sources, caching & limits
- Data comes from 12306's own public query endpoints (
kyfw.12306.cn/otn/leftTicket/...) — read-only queries only; this server cannot book tickets, please buy via the official 12306 app/website. - Station code table cached locally for 7 days; ticket queries cached for 300 seconds.
- No API key, no login required.
- The hosted endpoint is rate-limited to 200 requests / minute / IP.
🐢 Self-hosting
git clone https://github.com/boy-373/12306-train-mcp.git
cd 12306-train-mcp
pip install -r requirements.txt
python train_mcp_server.py
# the server listens on 127.0.0.1:8003 by default; override with:
# MCP_HOST=0.0.0.0 MCP_PORT=9000 python train_mcp_server.py
# MCP_ALLOWED_HOSTS="your-domain.com,127.0.0.1:*"
# MCP_ALLOWED_ORIGINS="https://your-domain.com"
Then point your MCP client at http://127.0.0.1:8003/mcp.
No API keys or accounts are ever required.
🐳 Self-host with Docker
Option A — pull the pre-built image (fastest, no build):
docker run -d -p 8000:8000 --name 12306-train-mcp ghcr.io/boy-373/12306-train-mcp:latest
Option B — build from source:
git clone https://github.com/boy-373/12306-train-mcp.git
cd 12306-train-mcp
docker build -t 12306-train-mcp .
docker run -d -p 8000:8000 --name 12306-train-mcp 12306-train-mcp
Then point your MCP client at http://127.0.0.1:8000/mcp.
The container listens on 0.0.0.0:8000 by default (override with -e MCP_PORT=9000 and adjust -p accordingly). No API keys or accounts required.
train_stations.json— bundled 12306 station name → telegraph-code table (auto-refreshed from 12306 every 7 days).
🗂️ Files
train_mcp_server.py— the MCP server (FastMCP, Streamable HTTP transport).rate_limit.py— lightweight per-IP sliding-window rate-limit middleware (200 req/min default).requirements.txt—mcp,uvicorn,starlette.server.json— official MCP Registry manifest (remote server entry, ready to publish withmcp-publisher).smithery.yaml/glama.json— directory listing metadata.
🧯 Parameter guide & common errors (read this if a call fails)
query_train_tickets(from_city, to_city, date="")
| Parameter | What to pass | Notes |
|---|---|---|
from_city / to_city | Chinese station or city names, e.g. "青岛", "北京", "上海虹桥" | A city name works when the city has one main station; for multi-station cities use the exact station name. Not sure? Call search_station("北京") first — it returns 北京/北京南/北京西/北京北… |
date | YYYY-MM-DD, e.g. "2026-09-20" | Optional — defaults to tomorrow when empty. 12306's pre-sale window is 15 days (dates further out return an error or empty results). |
Why you may get an HTTP 400 / error result:
- Bad date format — must be exactly
YYYY-MM-DD(2026/09/20,2026年9月20日,Sep 20all fail). - Station name not found — typo, pinyin (
"qingdao"), or a vague nickname the code table doesn't contain. Fix: callsearch_stationwith a keyword and copy the exact name. - City-level name for a multi-station city — e.g.
"北京"usually resolves to 北京 station, but if you want a specific station pass"北京南"/"北京西"explicitly. - Date outside the 15-day pre-sale window — 12306 has not released those tickets yet.
Correct call examples:
query_train_tickets(from_city="青岛", to_city="北京", date="2026-09-20")
query_train_tickets(from_city="北京南", to_city="上海虹桥") # date omitted -> tomorrow
search_station(keyword="上海") # -> 上海/上海南/上海虹桥/上海西…
A successful response returns 车次总数 plus a 车次 list (train number, departure/arrival station & time, duration, and remaining seats per class). An unrecognized station returns {"error": "出发站「…」无法识别,可用 search_station 工具查车站名"} — simply re-call with the exact name.
🧯 参数说明与常见错误(调用失败先看这里)
query_train_tickets(from_city, to_city, date="") 参数说明
| 参数 | 填什么 | 注意 |
|---|---|---|
from_city / to_city | 中文车站名或城市名,如 "青岛"、"北京"、"上海虹桥" | 城市只有一个主车站时填城市名即可;多车站城市建议填具体车站名。不确定时先调 search_station("北京"),会返回 北京/北京南/北京西/北京北 等准确站名 |
date | YYYY-MM-DD 格式,如 "2026-09-20" | 可留空,留空默认查明天;12306 预售期通常为 15 天,超出预售期的日期会查询失败或无结果 |
返回 400 / 错误结果的常见原因:
- 日期格式错误:必须严格为
YYYY-MM-DD,2026/09/20、2026年9月20日、Sep 20等写法都会失败; - 站名不存在:错别字、拼音(如
"qingdao")、或码表中没有的俗称都会无法识别。解决方法:先用search_station关键词搜索,复制返回的准确站名; - 多车站城市用了城市通称:如
"北京"一般能匹配到「北京」站,但要去特定车站请明确传"北京南"、"北京西"等; - 日期超出 15 天预售期:12306 尚未放票,查询会返回失败提示。
正确调用示例:
query_train_tickets(from_city="青岛", to_city="北京", date="2026-09-20")
query_train_tickets(from_city="北京南", to_city="上海虹桥") # date 留空 -> 默认明天
search_station(keyword="上海") # 返回 上海/上海南/上海虹桥/上海西…
调用成功会返回 车次总数 和 车次 列表(车次号、出发/到达站与时间、历时、各席别余票);站名无法识别时返回 {"error": "出发站「…」无法识别,可用 search_station 工具查车站名"},换成准确站名重试即可。
🇨🇳 中文使用说明
一句话:直接用中文站名查 12306 余票,数据来自 12306 官方公开查询接口,纯只读。
在线直连地址(免费、无需 Key、开箱即用):https://mcp.pianam.cn/train-mcp/mcp
在 MCP 客户端(Claude Desktop / Cursor / Cherry Studio / Cline 等)的配置里加入:
{
"mcpServers": {
"12306-train": {
"type": "http",
"url": "https://mcp.pianam.cn/train-mcp/mcp"
}
}
}
工具:
query_train_tickets(from_city, to_city, date):查余票。出发/到达站直接给中文城市或车站名(如「青岛」「北京南」),日期格式YYYY-MM-DD,留空默认明天;返回车次、出发到达时间、历时及商务座/一等座/二等座/软卧/硬卧/硬座/无座等余票。search_station(keyword):不确定城市有哪些车站时模糊搜索站名(如「北京」返回 北京/北京南/北京西/北京北 等)。- 仅查票,不能购票;12306 预售期通常 15 天。
服务特性:数据源全部为公开接口、无需注册/付费;服务端内存缓存、失败自动降级/切换备用通道;单 IP 限流 200 次/分钟。
本地部署:
git clone https://github.com/boy-373/12306-train-mcp.git
cd 12306-train-mcp
pip install -r requirements.txt
python train_mcp_server.py
# 默认监听 127.0.0.1:8003,可用环境变量 MCP_HOST / MCP_PORT / MCP_ALLOWED_HOSTS / MCP_ALLOWED_ORIGINS 覆盖
Docker 自托管:
# 方式一:直接拉预构建镜像(最快,无需构建)
docker run -d -p 8000:8000 --name 12306-train-mcp ghcr.io/boy-373/12306-train-mcp:latest
# 方式二:从源码构建
git clone https://github.com/boy-373/12306-train-mcp.git && cd 12306-train-mcp
docker build -t 12306-train-mcp .
docker run -d -p 8000:8000 --name 12306-train-mcp 12306-train-mcp
# MCP 地址填:http://127.0.0.1:8000/mcp
容器默认监听 0.0.0.0:8000(可用 -e MCP_PORT=端口 改),无需任何 API Key 或账号。
📄 License
MIT © 2026 boy-373
Install via Smithery
One-click install for Smithery-supported clients (Claude Desktop, Cursor, etc.):
Or run:
npx -y @smithery/cli install 1561852680/12306-train-mcp --client claude
🔌 Use with Any AI Client — One-Click MCP Gateway
We host a free MCP aggregation gateway: your AI assistant (Cherry Studio, Claude Desktop, Cursor, Cline — any MCP client) discovers and uses MCP tools through a single URL:
https://mcp.pianam.cn/ai/mcp
Add it once, then talk in plain language — the AI automatically searches → inspects → calls the right MCP for you.
- 🔍 Search across 22,000+ indexed MCP servers (Chinese & English)
- ⚡ 50+ live hosted MCPs callable directly out of the box (weather, exchange rates, hot trends, IP geo, train tickets…)
- 📦 GitHub-based MCPs: search finds them with links to install locally
- ✅ Servers health-checked weekly — alive ones ranked first
- 🆓 Free to use, no key required
📖 3-step setup guide / 中文接入教程: https://mcp.pianam.cn/ai-gateway
Tools it offers (2)
What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
query_train_ticketssearch_station
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- 12306-train-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
cn-pianam-mcp-12306-train-mcp- Source
- github.com/boy-373/12306-train-mcp
- Hosted endpoint
https://mcp.pianam.cn/train-mcp/mcp