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PHPで実装されたMCP(モデルコンテキストプロトコルサーバー)で、時刻とタイムゾーン変換機能を提供します。
Capabilities

The MCP Time PHP server gives AI assistants instant, reliable access to accurate time information across any IANA‑defined zone. Rather than hard‑coding timestamps or relying on external APIs, the server exposes two concise tools— and —that let a model query the present moment or translate a given hour from one region to another. By detecting the host’s system timezone automatically, it supports both local‑time queries and explicit zone requests with equal ease.
For developers building conversational agents or scheduling utilities, this server removes a common pain point: synchronizing events that span multiple time zones. A model can now answer “What is the meeting time in Tokyo if we meet at 4 p.m. New York?” or “Show me the current UTC offset for Berlin.” The responses include ISO‑8601 timestamps, daylight‑saving status, and the computed difference, giving downstream logic all the data needed for calendar integration or reminder services.
Key capabilities are delivered through a clean, strongly‑typed API. accepts an IANA zone name and returns the exact datetime, offset, and DST flag. takes a source zone, a 24‑hour time string, and a target zone, producing both the source and converted datetimes plus the hour difference. The server’s design ensures that any LLM can compose these calls without manual timezone calculations, while still being able to override the default local zone via a command‑line flag for testing or deployment in containerized environments.
Typical use cases include virtual meeting schedulers, global event planners, and location‑aware chatbots that need to provide accurate local times. In a customer support bot, for example, the assistant can confirm “It’s currently 3:45 p.m. in São Paulo” or translate a user‑input time into the assistant’s own zone for logging. Because MCP servers communicate over stdin/stdout, the Time PHP server plugs directly into any AI workflow that supports the Model Context Protocol—Claude.app, Zed, or custom tooling—without additional networking overhead.
The server’s lightweight PHP implementation and comprehensive test suite make it easy to maintain and extend. It demonstrates how a focused MCP service can add significant value to AI applications by abstracting away complex, locale‑sensitive logic and presenting developers with a simple, reliable interface for time‑related queries.
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