Time Node MCP Server

Overview

The Time Node MCP Server is a lightweight, timezone‑aware utility that resolves one of the most common pitfalls when an AI assistant answers questions about dates and times: timezone confusion. When a user asks for the current time or to schedule an event across multiple regions, many assistants return incorrect results because they assume a single default timezone or fail to account for daylight‑saving transitions. This server eliminates that ambiguity by providing a consistent, accurate source of time information for any IANA timezone.

At its core, the server exposes four simple tools that can be invoked by an AI client such as Claude. The first, , returns the present moment in a user‑specified timezone and supports multiple output formats (ISO 8601, local, or a fully human‑readable string). The second tool, , lets the assistant translate a specific clock time from one zone to another, optionally specifying a date so that daylight‑saving rules are applied correctly. The third tool, , reveals the machine’s own timezone setting along with the current time, which is useful for contextualizing responses or debugging. Finally, provides the current date in any zone and can include day‑of‑week information, making it straightforward to answer questions like “What day is it in Tokyo?”

Developers benefit from this server because it encapsulates all the complexities of timezone math—parsing IANA identifiers, handling DST transitions, and formatting dates—in a single, well‑defined MCP interface. By integrating the Time Node MCP into an AI workflow, you can guarantee that every time‑related answer is both precise and consistent across devices and locales. This reliability is especially valuable in scenarios such as international meeting scheduling, travel itinerary generation, or any application that coordinates events across multiple regions.

Unique advantages of the Time Node MCP include its system‑timezone detection, which automatically reports the host’s current zone without extra configuration, and its DST awareness that ensures conversions remain correct even during ambiguous transition periods. Because the server is written in Node.js and built with TypeScript, it can be deployed quickly on any platform that supports modern JavaScript runtimes, making it an ideal choice for developers who need a dependable time‑handling backbone for their AI assistants.