Chronos MCP Server

Chronos MCP Server Overview

The Chronos MCP Server addresses a common pain point in AI‑assisted applications: the need for accurate, timezone‑aware date and time data. When an AI assistant interacts with external services—such as scheduling tools, calendar APIs, or global notification systems—it must interpret timestamps correctly across multiple locales. Without a dedicated time service, developers often embed hard‑coded logic or rely on fragile client‑side calculations, leading to errors and maintenance overhead. Chronos solves this by exposing a lightweight MCP endpoint that centralizes all time‑zone conversions and provides reliable, standardized responses.

At its core, the server offers two essential tools. The tool returns the current date and time for any supported IANA or Windows timezone, optionally falling back to a pre‑configured default when no explicit is supplied. This eliminates the need for client code to perform complex lookup tables or handle daylight‑saving transitions manually. The tool simply reports the server’s configured default, allowing clients to verify or adapt their behavior dynamically. Both tools are built with robust error handling; invalid timezone identifiers trigger clear, descriptive errors rather than silent failures.

Chronos is designed for seamless integration into AI workflows. Developers can deploy it locally or as a Docker container, and the .NET Core implementation ensures cross‑platform compatibility. The server’s MCP interface is fully compliant with the Model Context Protocol, so any client that understands MCP—whether a custom C# SDK wrapper or a generic HTTP tool—can invoke its services without additional adapters. In practice, an AI assistant can call before scheduling a meeting, or use the default timezone when prompting users for local times, ensuring that all generated timestamps are accurate and consistent.

Real‑world use cases include automated meeting planners that must respect participants’ time zones, global reminder systems that trigger notifications at local midnight, and data pipelines that normalize timestamps for analytics across regions. By centralizing time logic, Chronos reduces duplicated code, lowers the risk of timezone bugs, and frees developers to focus on higher‑level business logic. Its straightforward tool set, coupled with Docker support and clear error handling, makes it a practical addition to any AI‑enabled service stack.