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DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime - MCP Implementation

DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime

Master datetime workflows in Langflow with intuitive tools designed for seamless MCP server testing – precision engineered for developers, no guesswork." )

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About DateTime Tools for Langflow

What is DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime?

This specialized component for Langflow empowers developers with robust datetime functionality, engineered to streamline precision timing in workflows and MCP (Modular Component Protocol) validation. By integrating timezone-aware operations, it ensures synchronization across geographically dispersed systems while maintaining granular control over temporal data.

How to Use DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime?

Installation follows a three-step process: copy the provided code snippet, paste it into Langflow’s custom component interface, and validate. To leverage core features, instantiate the DateTimeTools class and invoke methods with IANA timezone identifiers. For example, get_current_datetime("Europe/London") returns ISO-formatted datetime strings with offset metadata, while get_week_number() delivers standardized ISO week calculations.

DateTime Tools for Langflow Features

Key Features of DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime?

  • Granular timezone intelligence: Supports over 1400 IANA timezones including regional variants like Asia/Kolkata and America/Sao_Paulo
  • ISO-compliant outputs: Ensures interoperability with standardized datetime formatting and week numbering
  • Fail-safe mechanisms: Returns descriptive error payloads for invalid inputs while preserving workflow integrity

Use Cases of DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime?

DateTime Tools for Langflow FAQ

FAQ from DateTime Tools for Langflow: Seamless MCP Testing & Precision Datetime?

  • How does error handling work? Invalid timezones trigger human-readable error messages while numeric outputs return -1 to maintain workflow continuity
  • Does it handle daylight savings? Full DST transitions are accounted for via pytz’s timezone database synchronization
  • Can I use custom timezones? Only IANA-standardized zones are supported for compliance and reliability
  • Where can I find valid timezone codes? Refer to the IANA tz database for authoritative identifiers

Content

DateTime Tools for Langflow

A simple custom component for Langflow that provides datetime-related tools with timezone support.

Features

  • Get current date and time with timezone support
  • Get current week number with timezone support
  • Simple error handling for invalid timezones

Installation

  1. Copy the contents of langflow_component.py
  2. Open Langflow
  3. Click "+ Custom Component"
  4. Paste the code into the editor
  5. Click "Check & Save"

Usage

Get Current DateTime

datetime_tools = DateTimeTools()
current_time = datetime_tools.get_current_datetime("America/New_York")
# Returns: "2024-03-20T10:30:00-04:00"

Get Week Number

datetime_tools = DateTimeTools()
week_num = datetime_tools.get_week_number("America/New_York")
# Returns: 12

Timezone Support

The component supports all timezones available in the IANA Time Zone Database. Common timezone identifiers include:

  • UTC
  • America/New_York
  • America/Los_Angeles
  • Europe/London
  • Asia/Tokyo
  • Australia/Sydney

For a complete list of supported timezones, refer to the IANA Time Zone Database.

Error Handling

  • Invalid timezones will return an error message
  • Week number will return -1 for invalid timezones or errors

Dependencies

The component requires the following Python packages:

  • pytz
  • datetime (built-in)

Make sure these are installed in your Langflow environment.

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