How to Use the vCita MCP in Vercel AI SDK

Q: How do I check account status using vCita with Vercel AI SDK?

You call getapistatus to confirm the connection health. The streaming nature of the Vercel AI SDK means you'll get this response immediately, letting your user know if the service is up or down.

Q: Can I list all invoices using vCita with Vercel AI SDK?

Absolutely. The listclientinvoices tool lets you fetch every invoice for a client. Because of how the Vercel AI SDK streams results, these records will appear in your app's table as they are retrieved.

Q: Does the vCita MCP Server support viewing staff members with Vercel AI SDK?

Yes. You simply call liststaffmembers and stream that list into your UI component. It's straightforward for displaying team member directories.

Q: How do I cancel a booking using vCita with Vercel AI SDK?

Use the cancelappointment tool to handle cancellations. When you execute this, the client immediately sees confirmation streamed directly into their view.

See real-time client data streaming right into your UI using Vercel AI SDK.

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Connect vCita MCP to Vercel AI SDK

Create your Vinkius account to connect vCita to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup vCita with Vercel AI SDK

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Manage Client Records with the MCP Server

Need to get a customer's current details? Call `get_client_details` directly from your Next.js component. The result streams instantly, so users see the data populate live instead of waiting for a loading spinner. You can also quickly list all existing customers using `list_crm_clients`. This lets you build immediate dashboards that display real-time CRM information as soon as the AI client fetches it.

Handle Appointments and Bookings with Vercel AI SDK

The tool `create_new_booking` schedules a service right in your frontend. Since this is an MCP Server, the result of scheduling appears immediately to the end user's interface. You can check scheduled appointments by calling `list_scheduled_appointments`. This provides instant feedback when displaying a calendar view or confirmation page.

Process Financial Transactions and Estimates

To show payment history, use `list_recorded_payments`. The data streams into the UI, letting users see recent transactions appear instantly. This is critical for real-time financial dashboards. If a client needs to know what's due, call `list_price_estimates` and display the output right where the user is viewing it.

Setup guide

Set up vCita 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 vCita 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 vCita transactions",
});

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

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 vCita. 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 vCita MCP in Vercel AI SDK

You call `get_api_status` to confirm the connection health. The streaming nature of the Vercel AI SDK means you'll get this response immediately, letting your user know if the service is up or down.

Absolutely. The `list_client_invoices` tool lets you fetch every invoice for a client. Because of how the Vercel AI SDK streams results, these records will appear in your app's table as they are retrieved.

This MCP Server handles client information, payment records, and booking details. You can use the streamed results to update user-facing dashboards in real time.

Yes. You simply call `list_staff_members` and stream that list into your UI component. It's straightforward for displaying team member directories.

Use the `cancel_appointment` tool to handle cancellations. When you execute this, the client immediately sees confirmation streamed directly into their view.

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