How do I find my TimezoneDB API Key?

Log in to your [**TimezoneDB account**](https://timezonedb.com/register), and you will find your API Key on the main page. Copy and paste it below.

Does the agent support searching by city?

While the primary tools use zone strings or coordinates, you can use `list_timezones` to find the correct zone name for a specific country.

Can the agent check if DST is active?

Yes. The `get_dst_status` tool returns a boolean value identifying if daylight saving time is currently being observed in the specified zone.

TimezoneDB MCP Server for LangChain 5 tools — connect in under 2 minutes

Name: TimezoneDB
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect TimezoneDB through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "timezonedb": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using TimezoneDB, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About TimezoneDB MCP Server

Empower your AI agent to orchestrate your entire global time and timezone research workflow with TimezoneDB, the authoritative source for world clock data. By connecting TimezoneDB to your agent, you transform complex offset lookups into a natural conversation. Your agent can instantly retrieve current time for any zone, audit daylight saving statuses, and identify regional time variations without you ever touching a manual converter. Whether you are planning international calls or building global scheduling systems, your agent acts as a real-time time consultant, ensuring your data is always precise and synchronized.

LangChain's ecosystem of 500+ components combines seamlessly with TimezoneDB through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Time Auditing — Retrieve the exact current time for over 400 timezones and maintain a clear view of global offsets.
Location Oversight — Query timezone details based on geographic coordinates to understand local time patterns instantly.
Zone Discovery — List all supported timezones by country to identify regional variations and abbreviations.
DST Intelligence — Check if daylight saving time is currently active for any zone to assist in precise scheduling.
Spatial Discovery — Retrieve latitude and longitude metadata for specific zones to maintain spatial context.

The TimezoneDB MCP Server exposes 5 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect TimezoneDB to LangChain via MCP

Follow these steps to integrate the TimezoneDB MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from TimezoneDB via MCP

Why Use LangChain with the TimezoneDB MCP Server

LangChain provides unique advantages when paired with TimezoneDB through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine TimezoneDB MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across TimezoneDB queries for multi-turn workflows

TimezoneDB + LangChain Use Cases

Practical scenarios where LangChain combined with the TimezoneDB MCP Server delivers measurable value.

RAG with live data: combine TimezoneDB tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query TimezoneDB, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain TimezoneDB tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every TimezoneDB tool call, measure latency, and optimize your agent's performance

TimezoneDB MCP Tools for LangChain (5)

These 5 tools become available when you connect TimezoneDB to LangChain via MCP:

check_api_status

Check if the TimezoneDB API is operational

get_dst_status

Check if daylight saving time is currently active for a zone

get_time_by_location

Get current time for specific geographic coordinates

get_time_by_zone

g., "America/New_York. Get current time and details for a specific timezone (e.g., "America/New_York")

list_timezones

List all supported timezones, optionally filtered by country

Example Prompts for TimezoneDB in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with TimezoneDB immediately.

"What is the current time in 'Asia/Tokyo' using TimezoneDB?"

"Check time for latitude 40.7128, longitude -74.0060."

"List all timezones in 'Brazil'."

Troubleshooting TimezoneDB MCP Server with LangChain

Common issues when connecting TimezoneDB to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

TimezoneDB + LangChain FAQ

Common questions about integrating TimezoneDB MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.