vCita MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Cancel Appointment, Create Crm Client, Create New Booking, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect vCita 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 vCita app connector for Vercel AI SDK is a standout in the Customer Relationship Management category — giving your AI agent 12 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 vCita, 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 vCita MCP Server
Connect your vCita business management account to any AI agent and simplify how you coordinate your schedule, client records, and billing through natural conversation.
The Vercel AI SDK gives every vCita tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Client Management — List, search, and create new client records in your CRM with full metadata support.
- Appointment Scheduling — Book new services, list upcoming appointments, and cancel existing bookings instantly via AI.
- Service Catalog — Query your offered services and prices to understand your bookable offering.
- Financial Tracking — Monitor your cash flow by listing invoices, payments, and price estimates sent to clients.
- Team Coordination — List staff members and their roles to manage your business directory.
- Operational Visibility — Check account status and connection health to ensure your business engine is running smoothly.
The vCita MCP Server exposes 12 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 12 vCita tools available for Vercel AI SDK
When Vercel AI SDK connects to vCita through Vinkius, your AI agent gets direct access to every tool listed below — spanning small-business-management, appointment-booking, client-portal, 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.
Cancel booking
Add new customer
Schedule a service
Get account status
Get client info
List all invoices
List CRM customers
List bookable services
List client estimates
List transactions
List bookings
List team users
Connect vCita to Vercel AI SDK via MCP
Follow these steps to wire vCita 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 vCita MCP Server
Vercel AI SDK provides unique advantages when paired with vCita 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 vCita integration everywhere
Built-in streaming UI primitives let you display vCita 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
vCita + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the vCita MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query vCita in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate vCita tools and return structured JSON responses to any frontend
Chatbots with tool use: embed vCita capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with vCita through natural language queries
Example Prompts for vCita in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with vCita immediately.
"Show me my upcoming appointments for this week."
"Search for a client with the email 'jane.doe@example.com'."
"Book a 'New Consultation' for client 'cl_10293' on Dec 1st at 10 AM."
Troubleshooting vCita MCP Server with Vercel AI SDK
Common issues when connecting vCita to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpvCita + Vercel AI SDK FAQ
Common questions about integrating vCita 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.