How to Use the Days Between Dates Calculator MCP in Vercel AI SDK

Stream date math directly into your Vercel AI SDK interface for live, reactive UI updates.

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Connect Days Between Dates Calculator MCP to Vercel AI SDK

Create your Vinkius account to connect Days Between Dates Calculator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Days Between Dates Calculator with Vercel AI SDK

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Real-time date logic in Vercel AI SDK

Pipe `count_business_days` results straight into your React components. Your users watch the calculation finish without staring at a loading spinner. This MCP pushes data through the SDK stream to keep your frontend state synced with the agent.

Detailed temporal breakdowns

Use `get_date_breakdown` to render granular year, month, and week counts. Your UI interprets these raw values to display human-readable timelines instantly. It handles the heavy lifting so your front-end code stays clean and focused on layout.

Localized holiday awareness

Check region-specific calendars with `verify_holiday_status` before scheduling tasks. This prevents off-by-one errors in your Vercel AI SDK project logic. Your application logic now respects regional holiday schedules without hardcoding external data files.

Setup guide

Set up Days Between Dates Calculator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Days Between Dates Calculator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Days Between Dates Calculator transactions",
});

console.log(text);
await mcpClient.close();

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

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Common questions about Days Between Dates Calculator MCP in Vercel AI SDK

Install the necessary packages using npm install ai @ai-sdk/mcp. Initialize the client with your Vinkius URL and pass the tool definitions into your generateText function.

Yes, this MCP supports streaming over HTTP, which fits perfectly into edge environments. It keeps your latency low and your responses fast.

Absolutely, you just map the tool output to your agent's execution flow. It returns structured JSON that the SDK parses automatically.

We only process the two input dates you provide to the tools. No persistent logs of your specific calendar queries are kept on our infrastructure.

The calculations happen in milliseconds. Since it's built for streaming, the data arrives in your UI as soon as the logic finishes.

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