How to Use the Dime.Scheduler MCP in Mastra AI

Q: How do I add the Dime.Scheduler tools to a Mastra AI agent?

Instantiate the MCPClient with the server URL, call listTools(), and spread them into your agent's tool array. This gives your workflows immediate access to tools like listresources and listjobs.

Q: Can I require manual approval before Mastra AI modifies my Dime.Scheduler board?

Yes, Mastra AI lets you configure requireToolApproval for sensitive actions. You can let the agent analyze scheduling data with listappointments but pause for confirmation before finalizing changes.

Q: Can I run Mastra AI scheduling workflows on a schedule?

Yes, you can trigger Mastra AI agents to run queries like listtasks at set intervals. This lets you automate night-time dispatching and clean up outstanding work orders before the morning shift.

Build resilient dispatch workflows using Mastra AI and the Dime.Scheduler MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Dime.Scheduler MCP to Mastra AI

Create your Vinkius account to connect Dime.Scheduler 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.

GDPR Free for Subscribers

Setup Dime.Scheduler with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Resilient job dispatching with Mastra AI

The Dime.Scheduler MCP Server connects your automated workflows to ERP-managed field operations using the `list_jobs` tool. Your Mastra AI agent uses this tool to fetch unassigned work orders and automatically routes them to available field teams. If the primary database query fails, Mastra's built-in retry mechanism handles the error. You can build conditional branches that trigger when a dispatch attempt hits a snag. If a technician is unavailable, the agent calls `list_resources` to find a backup and tries again. This keeps your dispatch pipeline moving without manual intervention.

Automated conflict resolution via MCP Server tools

Resolving schedule clashes requires immediate access to active calendar states, which you get by querying `list_appointments`. Your Mastra AI workflows call this tool to audit the planning board for overlapping bookings. The agent uses this real-time data to identify which technician is double-booked. Once a conflict is detected, the workflow calls `get_job` to analyze the priority of the competing tasks. Mastra handles the complex decision logic, choosing which appointment to reschedule based on ERP rules. This automation reduces the manual cleanup work for dispatchers.

Multi-step task categorization pipelines

Organizing field work requires mapping raw tasks to specific business categories using `list_tasks`. Your Mastra AI agent calls this tool to pull raw requirements and matches them against `list_categories` to apply the right operational tags. The entire process runs through a structured workflow engine. The agent uses `list_time_markers` to assign precise execution windows to each categorized task. Because Mastra supports simple deployments, you can push this entire scheduling pipeline to the cloud with one command. It ensures your ERP data stays organized without complex infrastructure setup.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dime.Scheduler. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Dime.Scheduler now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Dime.Scheduler MCP in Mastra AI

Instantiate the MCPClient with the server URL, call `listTools()`, and spread them into your agent's tool array. This gives your workflows immediate access to tools like `list_resources` and `list_jobs`.

Yes, Mastra AI lets you configure `requireToolApproval` for sensitive actions. You can let the agent analyze scheduling data with `list_appointments` but pause for confirmation before finalizing changes.

Mastra uses automatic retries with exponential backoff. If a query to `get_job` times out due to ERP network lag, the workflow retries the request until it succeeds.

Yes, you can trigger Mastra AI agents to run queries like `list_tasks` at set intervals. This lets you automate night-time dispatching and clean up outstanding work orders before the morning shift.

All scheduling data, including technician profiles and job assignments, passes through an isolated V8 sandbox. This zero-trust architecture ensures your sensitive ERP records are never exposed to external logs.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript