Dime.Scheduler MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Get Job, List Appointments, List Categories, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Dime.Scheduler through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Dime.Scheduler app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Dime.Scheduler, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Dime.Scheduler MCP Server
Connect your Dime.Scheduler account to any AI agent and take full control of your resource orchestration and project scheduling workflows through natural conversation.
The Vercel AI SDK gives every Dime.Scheduler tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Job Orchestration — List and manage planning jobs programmatically, retrieving detailed metadata about parent entities and project requirements
- Task Lifecycle Management — Access and track individual units of work (tasks) that need to be scheduled across your resources in real-time
- Appointment Monitoring — List and inspect all appointments on the graphical planning board to maintain a high-fidelity overview of scheduled activities
- Resource Optimization — Retrieve complete directories of planable resources (people, equipment, tools) to understand team availability and capacity
- Category & Marker Intelligence — Access planning categories and time markers directly through your agent to keep your scheduling board perfectly organized
The Dime.Scheduler MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 7 Dime.Scheduler tools available for Vercel AI SDK
When Vercel AI SDK connects to Dime.Scheduler through Vinkius, your AI agent gets direct access to every tool listed below — spanning resource-planning, scheduling, workforce-management, 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.
Get job details
List all appointments on the planning board
List all planning categories
Scheduler. List all planning jobs
List all planable resources
List all planning tasks
List available time markers
Connect Dime.Scheduler to Vercel AI SDK via MCP
Follow these steps to wire Dime.Scheduler into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Dime.Scheduler MCP Server
Vercel AI SDK provides unique advantages when paired with Dime.Scheduler through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Dime.Scheduler integration everywhere
Built-in streaming UI primitives let you display Dime.Scheduler tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Dime.Scheduler + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Dime.Scheduler MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Dime.Scheduler in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Dime.Scheduler tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Dime.Scheduler capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Dime.Scheduler through natural language queries
Example Prompts for Dime.Scheduler in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Dime.Scheduler immediately.
"List all active planning jobs in Dime.Scheduler."
"Show me all appointments scheduled for tomorrow on the board."
"List all planable resources and their current status."
Troubleshooting Dime.Scheduler MCP Server with Vercel AI SDK
Common issues when connecting Dime.Scheduler to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDime.Scheduler + Vercel AI SDK FAQ
Common questions about integrating Dime.Scheduler MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.