How to Use the Calendarific MCP in Mastra AI

Q: How do I add the Calendarific MCP Server to a Mastra AI agent?

Install @mastra/mcp@latest and declare the MCP client using new MCPClient with your Vinkius HTTP URL. Call mcpClient.listTools() and spread them into your Mastra agent configuration so it can look up global holidays.

Q: Can Mastra AI handle conditional branching based on Calendarific regional holidays?

Yes, you write workflows that check listholidaysbylocation and branch based on the results. If a holiday is active in a specific state, your Mastra AI agent routes tasks to a different regional team.

Q: Does the Calendarific integration with Mastra AI support human-in-the-loop approval?

Yes, Mastra AI supports requireToolApproval for its tools. You force the system to pause and request human verification before executing actions based on the returned holiday data.

Q: What happens to my Calendarific account metadata and holiday search history?

Vinkius processes all getaccountinfo requests and holiday queries inside an isolated, zero-trust MCP sandbox. Your API keys and query inputs are never stored or logged on the host platform.

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Connect Calendarific MCP to Mastra AI

Create your Vinkius account to connect Calendarific to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Calendarific with Mastra AI

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Automate holiday workflows with Mastra AI agents

Your Mastra AI agent workflows trigger conditional actions based on global holiday schedules retrieved by `list_holidays` from the Calendarific server. Mastra AI executes these checks as structured steps, allowing your system to pause notifications or delay automated tasks if a target country is observing a national holiday. Here's how you register the server: initialize a new Mastra AI MCP client with your Vinkius URL and spread the Calendarific tools directly into your agent configuration.

Handle regional holiday API failures gracefully

Mastra AI manages API rate limits automatically when calling Calendarific tools like `list_holidays_by_location` or `get_account_info`. If the external holiday database experiences temporary downtime, the framework triggers exponential backoff retries to keep your workflow running. You don't need to write custom retry logic because Mastra AI handles backoff retries when fetching regional Calendarific schedules. You also configure `requireToolApproval` for sensitive steps, ensuring a human reviews the regional holiday list before execution.

Filter holiday data inside complex branching pipelines

Your Mastra AI workflows route tasks dynamically by checking holiday categories with `list_holidays_by_type` before executing marketing steps. If the agent detects a major religious holiday in the target region, the Mastra workflow engine branches to an alternative communication path. The Mastra AI framework automatically negotiates the transport layer to fetch country lists via `list_supported_countries` from the Calendarific server. This keeps your workflow pipelines light and fast across any cloud deployment.

Setup guide

Set up Calendarific MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Calendarific tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "calendarific-mcp-client",
  servers: {
    "calendarific-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Calendarific Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Calendarific tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Calendarific transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Calendarific. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Calendarific MCP in Mastra AI

Install `@mastra/mcp@latest` and declare the MCP client using `new MCPClient` with your Vinkius HTTP URL. Call `mcpClient.listTools()` and spread them into your Mastra agent configuration so it can look up global holidays.

Yes, you write workflows that check `list_holidays_by_location` and branch based on the results. If a holiday is active in a specific state, your Mastra AI agent routes tasks to a different regional team.

Yes, Mastra AI supports `requireToolApproval` for its tools. You force the system to pause and request human verification before executing actions based on the returned holiday data.

It uses auto-detected transport protocols like SSE or Streamable HTTP. The client connects to the secure Vinkius URL, passing your single token to authenticate all holiday queries.

Vinkius processes all `get_account_info` requests and holiday queries inside an isolated, zero-trust MCP sandbox. Your API keys and query inputs are never stored or logged on the host platform.

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