How to Use the Picktime MCP in Mastra AI

Q: Can Mastra AI handle conditional scheduling logic for Picktime?

Yes. You can build a workflow where the agent calls getavailability first, checks the slots, and conditionally triggers a booking notification only if the slot matches the user's preferred staff member from liststaff.

Q: How do I manage group sessions and workshops?

The listclasses tool lets your agent fetch multi-attendee sessions. The agent can monitor capacity limits and stop accepting bookings once a class is full.

Build resilient, auto-retrying Picktime scheduling workflows with the Mastra AI agent framework.

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…and any MCP-compatible client

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Connect Picktime MCP to Mastra AI

Create your Vinkius account to connect Picktime to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Picktime with Mastra AI

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Resilient Booking Workflows in Mastra AI

The `cancel_booking` tool integrates directly into Mastra AI workflows to handle multi-step cancellation and rebooking pipelines using this MCP Server. If an API timeout occurs, Mastra's built-in engine automatically retries the cancellation using exponential backoff. You can set up conditional branches that verify the cancellation reason before freeing up the slot. If a high-value customer cancels, the workflow routes the alert to an admin while updating the database.

Automated Multi-Location Dispatching

The `list_locations` tool resolves independent business branches so your agent knows where to direct incoming bookings. Mastra AI uses this output to branch workflows based on localized working hours and timezone rules. The agent then calls `get_location` to verify payment integrations and active booking URLs for that specific branch. This ensures your automated scheduling pipelines never send a customer to an inactive location.

Dynamic Resource Allocation via MCP Server

The `list_staff` tool retrieves active employee rosters, emails, and roles to match the right provider with the requested service. Your Mastra AI agent uses this data to balance workloads across your team automatically. By combining this with `get_service_details`, the agent checks booking limits and staff assignments before confirming an appointment. This programmatic check prevents double-booking employees who are already assigned to other services.

Setup guide

Set up Picktime 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 Picktime 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: "picktime-mcp-client",
  servers: {
    "picktime-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Picktime 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 Picktime. 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 Picktime MCP in Mastra AI

You instantiate the MCP client with the server URL and pass the tools returned by `mcpClient.listTools()` directly into your Mastra agent configuration. The framework automatically maps the schema for your workflow steps.

Yes. You can build a workflow where the agent calls `get_availability` first, checks the slots, and conditionally triggers a booking notification only if the slot matches the user's preferred staff member from `list_staff`.

Mastra AI uses its native workflow engine to catch errors from tools like `get_booking_details`. It automatically retries the operation based on your defined backoff policy before escalating the failure.

The `list_classes` tool lets your agent fetch multi-attendee sessions. The agent can monitor capacity limits and stop accepting bookings once a class is full.

This MCP Server processes customer contact info and booking details strictly in memory within ephemeral V8 isolates. Vinkius never writes this scheduling data to persistent storage, ensuring absolute transit security between your agent and the API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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