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Vinkius

Appointlet MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Appointlet through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "appointlet": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Appointlet Agent",
    instructions:
      "You help users interact with Appointlet " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Appointlet?"
  );
  console.log(result.text);
}

main();
Appointlet
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Appointlet MCP Server

Connect your Appointlet scheduling workspace to any AI agent to streamline booking operations, access client intake forms, and orchestrate meeting lifecycles directly via natural language. Forget jumping through tabs and let your virtual agent manage your calendar logistics.

Mastra's agent abstraction provides a clean separation between LLM logic and Appointlet 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

  • Scheduling Pages — Retrieve all available booking links and overall configurations for your account
  • Meeting Types — Pull details on available meeting formats, including durations, conferencing tools, and status
  • Booking Operations — Discover scheduled meetings, access filled intake forms, or instantly cancel a booking with a custom reason
  • Team Availability — List members assigned to different scheduling pages to audit round-robin workloads
  • Organization Stats — Audit the Appointlet workspace status, tier, and connected members

The Appointlet 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 Appointlet to Mastra AI via MCP

Follow these steps to integrate the Appointlet MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Appointlet via MCP

Why Use Mastra AI with the Appointlet MCP Server

Mastra AI provides unique advantages when paired with Appointlet through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Appointlet without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Appointlet tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Appointlet + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Appointlet MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Appointlet, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Appointlet as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Appointlet on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Appointlet tools alongside other MCP servers

Appointlet MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Appointlet to Mastra AI via MCP:

01

cancel_booking

The attendee receives a cancellation notification email. The time slot becomes available for new bookings. Cancel an existing Appointlet booking

02

get_booking

Get full details of a specific Appointlet booking

03

get_meeting_type

Get detailed configuration for a specific Appointlet meeting type

04

get_organization

The organization is the top-level account entity. Get the Appointlet organization profile

05

get_scheduling_page

Retrieve detailed information for a specific Appointlet scheduling page

06

list_bookings

Useful for reporting and CRM sync. List all bookings for an Appointlet scheduling page

07

list_intake_fields

Returns field names, types, and required status. List all custom intake form fields for an Appointlet meeting type

08

list_meeting_types

List all meeting types configured for an Appointlet scheduling page

09

list_members

Members receive meetings via round-robin or pooled availability. List all team members assigned to an Appointlet scheduling page

10

list_scheduling_pages

Each page has a unique booking URL. List all scheduling pages in the Appointlet organization

Example Prompts for Appointlet in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Appointlet immediately.

01

"List the meeting types on my primary scheduling page."

02

"Cancel my meeting with Alex Johnson scheduled for today and give the reason 'Flight delayed'."

03

"What answers did the attendee give in the intake form for booking bk_71m?"

Troubleshooting Appointlet MCP Server with Mastra AI

Common issues when connecting Appointlet to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Appointlet + Mastra AI FAQ

Common questions about integrating Appointlet MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Appointlet to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.