"12306 MCP server for getting interline train tickets" matching MCP servers:

Query China railway train schedules, ticket availability and station info via 12306 official API. Streamable HTTP endpoint.

A neutral, non-custodial payment router for AI agents: it discovers which payment rails a paid endpoint accepts (x402 on Base/EVM, Solana, MPP), then pays across them using the caller's own wallet key. Three tools — discover_payment_rails, pay_for_resource, payment_history.

Enables semantic search and analysis of customer support tickets. Provides tools to search tickets, analyze the dataset, and retrieve individual tickets using natural language.

Enables users to list their open GitHub pull requests and verify their identity through Keycard-backed, short-lived tokens while connecting via Claude Code.

A read-only MCP server exposing TOTVS support tickets (Portal do Cliente) as tools for LLMs in Claude Code, Claude Desktop, and Cursor.

A high-performance FastAPI backend for train ticket queries in China, supporting real-time ticket availability, station information, transfers, and train schedules through the Model Context Protocol for AI assistants and automation.

Enables support engineers to investigate a ticket by cross-referencing simulated Zendesk, Datadog, Snowflake, and AWS data, returning a possible root cause, ranked hypotheses with evidence, and recommended checks.

Enables querying train and high-speed rail schedules, durations, and seat availability between Chinese stations using 12306 data, with automatic fallback to simulated data when the API is rate-limited.

Provides access to Saudi passenger rail schedules and fares, including Haramain High-Speed Railway and intercity East/North lines, enabling natural language queries for train times and prices.

Enables asking questions in plain English about 61,765 customer-support tickets, returning exact answers computed via SQL queries over DuckDB.

Enables AI assistants to create tickets and worklog entries in REI3 ticket management systems through the REI3 Tickets API. Supports secure authentication and provides natural language interface for ticket operations.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

An MCP server for monitoring and managing training jobs on Modal. Built for LLMs that need to check on long-running GPU training without drowning in log output.

Enables users to describe an LLM fine-tuning workload and receive ranked, cost- and runtime-optimized GPU recommendations across multiple cloud providers by estimating VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job once and receive the cheapest, fastest, or most balanced GPU hardware options across a dozen cloud providers by calculating required VRAM/FLOPs and aggregating live pricing.

Enables users to describe an LLM fine-tuning job and receive ranked, task-aware GPU recommendations with estimated VRAM/FLOPs, cost, and runtime across more than ten cloud providers.

Enables users to describe an LLM fine-tuning workload once and get task-aware VRAM/FLOPs estimates plus ranked cheapest, fastest, and balanced GPU recommendations across multiple cloud providers.

Enables users to describe an LLM fine-tuning job and receive the cheapest, fastest, or most balanced GPU options across multiple cloud providers by calculating required VRAM and FLOPs.

Enables users to describe an LLM fine-tuning job and receive ranked GPU recommendations across a dozen cloud providers based on estimated VRAM/FLOPs, live pricing, cost, and speed. It returns cheapest, fastest, and balanced hardware options without manual comparison.

Enables users to describe an LLM fine-tuning workload once and get ranked, cost- and speed-optimized GPU recommendations across multiple cloud providers by estimating VRAM/FLOPs requirements.