Picktime MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Picktime through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"picktime": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Picktime Agent",
instructions:
"You help users interact with Picktime " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Picktime?"
);
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 Picktime MCP Server
Connect your Picktime organization account to your AI agent and turn complex scheduling and availability management into a simple chat conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Picktime tool infrastructure. Connect 10 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
- Space & Resources — Easily retrieve structural logistics utilizing
list_locationsand inspect the service portfolio actively usinglist_services. - Staff Management — Gather team rosters through
list_staffto orchestrate proper assignment mappings for upcoming reservations. - Booking Operations — Execute deep audits with
list_bookings, review detailed entries (get_booking_details), and cleanly back out utilizingcancel_booking. - Availability Mapping — Audit live calendar empty spots using
get_availabilityor check structured slots vialist_classesfor seamless planning.
The Picktime MCP Server exposes 10 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 Picktime to Mastra AI via MCP
Follow these steps to integrate the Picktime 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 10 tools from Picktime via MCP
Why Use Mastra AI with the Picktime MCP Server
Mastra AI provides unique advantages when paired with Picktime through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Picktime 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 Picktime 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
Picktime + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Picktime MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Picktime, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Picktime as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Picktime on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Picktime tools alongside other MCP servers
Picktime MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Picktime to Mastra AI via MCP:
cancel_booking
Cancel a Picktime booking with a reason. The customer receives a cancellation notification and the time slot becomes available again for new bookings
get_availability
Get available booking time slots for a specific Picktime service on a given date. Returns free windows considering staff schedules, existing bookings, and buffer times. Essential for building custom booking flows
get_booking_details
Get full details of a specific Picktime booking including customer contact info, service booked, staff assigned, start/end times, payment status, and any customer notes
get_location
Used to resolve workspace boundaries before hitting schedules. Get detailed configuration for a specific Picktime location by ID. Returns location name, address, timezone, working hours, booking URL, and linked calendar/payment integrations
get_service_details
Get detailed configuration for a specific Picktime service. Returns name, duration, price, description, staff assignments, booking limits, and cancellation policy
list_bookings
List all bookings for a Picktime location with optional date filter. Returns customer names, booked services, staff assignments, times, statuses, and payment info. Essential for schedule management
list_classes
List all group classes configured for a Picktime location. Classes are multi-attendee bookings with capacity limits — yoga sessions, workshops, group trainings
list_locations
List all business locations configured in Picktime. Each location operates independently with its own services, staff, working hours, and booking pages. Multi-location businesses manage branches separately
list_services
List all bookable services for a Picktime location. Returns service names, durations, prices, descriptions, assigned staff, and buffer times. Services define what customers can book
list_staff
List all staff members at a Picktime location. Returns staff names, emails, roles, assigned services, working hours, and active status. Staff availability determines bookable time slots
Example Prompts for Picktime in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Picktime immediately.
"Find all of our active clinic locations in the Picktime registry."
"Cancel the booking record identified as BK123456."
"Can you check the availability data for 'Hair Styling' next Monday?"
Troubleshooting Picktime MCP Server with Mastra AI
Common issues when connecting Picktime to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPicktime + Mastra AI FAQ
Common questions about integrating Picktime 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 Picktime with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Picktime to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.