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 LlamaIndex 5 tools — connect in under 2 minutes

Name: TimezoneDB
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 5 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add TimezoneDB as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to TimezoneDB. "
            "You have 5 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in TimezoneDB?"
    )
    print(response)

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.

LlamaIndex agents combine TimezoneDB tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 5 tools from TimezoneDB

Why Use LlamaIndex with the TimezoneDB MCP Server

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

Data-first architecture: LlamaIndex agents combine TimezoneDB tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain TimezoneDB tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query TimezoneDB, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what TimezoneDB tools were called, what data was returned, and how it influenced the final answer

TimezoneDB + LlamaIndex Use Cases

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

Hybrid search: combine TimezoneDB real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query TimezoneDB to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying TimezoneDB for fresh data

Analytical workflows: chain TimezoneDB queries with LlamaIndex's data connectors to build multi-source analytical reports

TimezoneDB MCP Tools for LlamaIndex (5)

These 5 tools become available when you connect TimezoneDB to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

TimezoneDB + LlamaIndex FAQ

Common questions about integrating TimezoneDB MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query TimezoneDB tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.