Mcp Tung Shing

Overview

The Mcp Tung Shing server brings the rich tradition of Chinese lunar calendar calculations into modern AI workflows. It exposes a single, well‑documented tool that returns daily tōng shèng (通胜) information—such as auspicious and inauspicious activities, time‑based recommendations, and fundamental astrological elements—for any requested date range. By packaging this data behind the Model Context Protocol, developers can seamlessly query the service from Claude or other MCP‑compatible assistants without writing custom parsers or maintaining a local calendar database.

What problem does it solve? Many applications—travel planners, event schedulers, or personal productivity tools—need culturally relevant date guidance to recommend optimal times for meetings, ceremonies, or travel. Traditional Chinese calendars are complex, involving solar terms, lunar months, and a host of yí (宜) and jì (忌) rules that are difficult to compute manually. This MCP server abstracts those calculations into a single API, providing authoritative, up‑to‑date information that would otherwise require extensive lookup tables or external services.

Key capabilities include:

• Gregorian–Lunar conversion: Convert between the solar calendar and the Chinese lunar dates, enabling cross‑referencing with international scheduling systems.
• Daily auspiciousness: Retrieve a list of recommended and prohibited activities for each day, filtered by type (宜 or 忌) to suit user preferences.
• Hourly details: Optionally include the 12‑hour shí chén (时辰) breakdown, giving finer granularity for time‑sensitive decisions.
• Astrological data: Access the five elements (wǔ xíng), shén shà (神煞), and constellations (xīng sù) that underpin traditional Chinese fortune‑telling.

In practice, a travel app could ask the assistant to “find an auspicious day in May for a wedding ceremony,” and the MCP server would return dates with favorable yí and free of major jì. A business scheduling tool might filter out days when the lunar calendar deems large meetings inauspicious, thereby aligning corporate planning with cultural sensitivities. Developers can embed these queries into chat‑based workflows, voice assistants, or automated email reminders, enriching user experience with culturally aware content.

What sets Mcp Tung Shing apart is its tight integration with MCP’s resource and tool model. The server publishes a single, self‑contained tool () that accepts JSON parameters for date ranges, hour inclusion, and filter criteria. This declarative interface allows AI assistants to compose complex queries—such as “the next 30 days of auspicious hours for starting a new project”—without any additional parsing logic. The result is a lightweight, extensible component that can be dropped into existing MCP ecosystems, delivering a niche yet powerful capability to any AI‑powered application.