# Joooook/12306-mcp

This is a 12306 ticket search server based on the Model Context Protocol (MCP).

Repository: https://github.com/Joooook/12306-mcp
Canonical: https://ross.abutalabs.com/products/12306-mcp
Language: JavaScript
License: MIT
License Family: permissive
Topics: 12306, mcp, mcp-server, train-tickets
Last push: 2026-07-31T06:22:59+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 95, longevity 36
- inputs: {"age_days": 506, "days_push": 33, "days_rel": 34, "gap_med": 10, "n_releases_24m": 16}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1220, forks 194 (observed 2026-08-28T04:04:01.916710+00:00)

## What it is
A Model Context Protocol (MCP) server that exposes 12306 (China Railway) ticket search capabilities to large language models. It provides API tools for querying tickets, filtering trains, transfer queries, and station-stop lookups over stdio or HTTP.

## Use cases
- search 12306 train tickets from an LLM chat
- query train ticket availability via MCP
- find transfer routes on China Railway 12306
- check train stops at intermediate stations
- connect Claude or other MCP clients to 12306 ticket data

## When to choose
- you want an LLM to search China Railway 12306 tickets through MCP
- you need a ready-made MCP server for train ticket queries
- you want stdio or HTTP transport with Docker support

## When to avoid
- you need actual ticket purchasing or booking, not just search
- you don't use MCP-compatible clients
- you need train booking outside China's 12306 system

## Facets
- artifact type: service
- maturity: active
- function: mcp, search-engine, api-framework, http-server
- domain: travel, apis, large-language-models, developer-tools
- platform: cli, cross-platform
- tags: 12306, train-tickets, mcp-server, china-railway, ticket-search, nodejs, docker

## Member repositories
- Joooook/12306-mcp (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:01.916710+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:55.626076+00:00, confidence not recorded.
  - readme: https://github.com/Joooook/12306-mcp (fetched 2026-08-28T04:04:01.916710+00:00, sha 9d85d24b9d26)
- Data as of 2026-08-30T08:39:29.467469+00:00.