TimezoneDB MCP Server for Mastra AI 5 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect TimezoneDB through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"timezonedb": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "TimezoneDB Agent",
instructions:
"You help users interact with TimezoneDB " +
"using 5 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with TimezoneDB?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
Mastra's agent abstraction provides a clean separation between LLM logic and TimezoneDB tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the TimezoneDB MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 5 tools from TimezoneDB via MCP
Why Use Mastra AI with the TimezoneDB MCP Server
Mastra AI provides unique advantages when paired with TimezoneDB through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add TimezoneDB without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every TimezoneDB tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
TimezoneDB + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the TimezoneDB MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query TimezoneDB, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed TimezoneDB as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query TimezoneDB on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using TimezoneDB tools alongside other MCP servers
TimezoneDB MCP Tools for Mastra AI (5)
These 5 tools become available when you connect TimezoneDB to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting TimezoneDB to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTimezoneDB + Mastra AI FAQ
Common questions about integrating TimezoneDB MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect TimezoneDB with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TimezoneDB to Mastra AI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.