Timekit MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Cancel Booking, Check Availability, Confirm Booking, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Timekit through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Timekit app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"timekit": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Timekit Agent",
instructions:
"You help users interact with Timekit " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Timekit?"
);
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 Timekit MCP Server
Connect your Timekit account to any AI agent and simplify how you manage resource availability, booking workflows, and customer appointments through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Timekit tool infrastructure. Connect 11 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
- Resource Management — List all resources (people, rooms, equipment) and create new profiles to manage scheduling capacity.
- Booking Lifecycle — Create new bookings, confirm tentative requests, or decline/cancel existing appointments via AI.
- Availability Checking — Programmatically find available time slots for one or more resources based on specific date ranges and durations.
- Rescheduling — Easily move existing bookings to new time slots without manual dashboard entry.
- Workflow Control — Manage complex booking 'graphs' (instant, confirm_decline) directly from your workspace.
- Account Visibility — Retrieve detailed metadata for specific bookings and resources to stay on top of your schedule.
The Timekit MCP Server exposes 11 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.
All 11 Timekit tools available for Mastra AI
When Mastra AI connects to Timekit through Vinkius, your AI agent gets direct access to every tool listed below — spanning scheduling-api, resource-management, booking-system, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel a confirmed booking
Check availability for resources
Confirm a pending booking
Create a new booking
Create a new resource
Decline a pending booking
Get details for a specific booking
Get details for a specific resource
List all bookings
List all resources (people, rooms, etc.)
Reschedule an existing booking
Connect Timekit to Mastra AI via MCP
Follow these steps to wire Timekit into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Timekit MCP Server
Mastra AI provides unique advantages when paired with Timekit through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Timekit 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 Timekit 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
Timekit + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Timekit MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Timekit, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Timekit as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Timekit on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Timekit tools alongside other MCP servers
Example Prompts for Timekit in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Timekit immediately.
"List all resources available in my account."
"Find 30-minute slots for 'Alex Rivera' (ID: res_10293) for tomorrow afternoon."
"Confirm the tentative booking #88231."
Troubleshooting Timekit MCP Server with Mastra AI
Common issues when connecting Timekit to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTimekit + Mastra AI FAQ
Common questions about integrating Timekit 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.