MCP-timeserver

Overview

The MCP-timeserver is a lightweight, purpose‑built server that supplies real‑time datetime data to AI assistants and chat REPLs. By exposing a simple URI scheme, it allows agents to retrieve the current date and time for any IANA‑compliant timezone with a single, declarative request. This eliminates the need for each client to manage its own time‑zone logic or rely on external APIs, thereby reducing latency and simplifying codebases.

For developers building agentic systems, accurate timekeeping is essential—whether for scheduling tasks, logging events, or coordinating multi‑user interactions. The MCP-timeserver addresses this by providing two complementary access methods: resources and tools. The resource interface lets a client construct a URI such as , which the server resolves to an ISO‑8601 timestamp. The tool interface offers a convenient function, , that returns the local time of the server machine. Both approaches are stateless, making them ideal for high‑throughput or distributed environments.

Key capabilities include:

• Timezone flexibility: Support for any region defined in the IANA database, enabling global applications to fetch localized times without additional configuration.
• Minimal footprint: The server is implemented in a single command (), making it easy to deploy as part of a container or serverless workflow.
• MCP‑compatible: It adheres to the Model Context Protocol, so agents can discover and invoke it automatically through standard MCP discovery mechanisms.

Typical use cases span from simple chatbots that need to report the current time in a user’s locale, to complex orchestration systems that schedule jobs across multiple regions. In collaborative environments, the server can serve as a shared clock source, ensuring that all agents reference the same authoritative time. Its stateless design also makes it suitable for integration into CI/CD pipelines, where deterministic timestamps are required for build metadata.

In summary, the MCP-timeserver offers developers a reliable, protocol‑native solution for time data. By abstracting timezone handling behind a clean URI scheme and a ready‑to‑use tool, it streamlines agent workflows, reduces boilerplate code, and ensures consistent time references across diverse AI applications.