Overview

This MCP (Model Context Protocol) server provides a minimal, interoperable way to fetch the current UTC time formatted to RFC 3339. It’s implemented in Python and distributed on PyPI, making it easy to add a precise timestamp tool to model toolchains, microservices, or observability pipelines. Because RFC 3339 is a widely accepted timestamp format for machine and human consumption, the server helps avoid timezone and formatting ambiguity when timestamps are passed between systems or included in model context.

The server is intentionally small and deterministic: it exposes a single tool-like endpoint that returns the current time in RFC 3339 (UTC) format. That makes it a good utility for tool registries used by LLMs and other automation frameworks that rely on MCP-style tool calls to extend model capabilities with external, deterministic data.

Features

Returns current time in RFC 3339 format (UTC)
Simple HTTP JSON API suitable for MCP-style tool integrations
Lightweight Python implementation distributed via PyPI
Easy to run locally or containerize for production
Predictable, machine-readable output for logging, model context, and event ordering

Installation / Configuration

Install from PyPI:

pip install time-mcp-pypi

Quick start — run the server locally (example):

# run the package as a module (common convention)
python -m time_mcp_pypi

# or, if a CLI entry point is provided by the package:
time-mcp-pypi

If you need to bind to a specific host/port, set environment variables or CLI flags as supported by the package. Typical options:

# example environment variables (adjust to actual package options)
export TIME_MCP_HOST=0.0.0.0
export TIME_MCP_PORT=8080
python -m time_mcp_pypi

Configuration checklist:

Ensure the host/port are reachable from the clients that will call the tool.
If deploying behind a reverse proxy, forward the request path and preserve JSON bodies.
Use TLS / an ingress layer in production to protect metadata and egress.

Available Resources

GitHub repository: https://github.com/domdomegg/time-mcp-pypi
PyPI package (installable): pip install time-mcp-pypi

API overview (typical, minimal interface):

Method	Path	Request	Response
GET	/time	none	JSON: {“rfc3339_utc”:“2026-04-10T12:34:56Z”}

Example response:

{
  "rfc3339_utc": "2026-04-10T12:34:56Z"
}

Note: Consult the repository or package documentation for exact path names and any optional parameters (for example, millisecond precision or alternate field names).

Examples

Fetch current time with curl:

curl -s http://localhost:8080/time
# => {"rfc3339_utc":"2026-04-10T12:34:56Z"}

Fetch time in Python (requests):

import requests

resp = requests.get("http://localhost:8080/time")
resp.raise_for_status()
data = resp.json()
print("Current time (RFC3339 UTC):", data["rfc3339_utc"])

MCP-style tool call (example JSON exchange):

Request (from a model runtime):

{
  "tool": "time",
  "input": {}
}

Response (server):

{
  "tool": "time",
  "output": {
    "rfc3339_utc": "2026-04-10T12:34:56Z"
  }
}

Use Cases

LLM tool integration: Provide an unambiguous timestamp to a model when it needs to reason about current time, schedule events, or generate time-dependent text.
Event ordering and logs: Add RFC 3339 UTC timestamps to events emitted by distributed services to enable consistent ordering and cross-service correlation.
Test harnesses: Use the server as a deterministic source of wall-clock time in integration tests, log assertions, or synthetic data generation.
Observability and debugging: Query a central time service to validate clock skew across hosts and include standardized time in telemetry metadata.
Data pipelines: Stamp output records with a consistent,

RFC 3339 UTC Time MCP Server PyPI