CloudCard ID Photos MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Approve Id Photo, Check Api Health, Deny Id Photo, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CloudCard ID Photos 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 CloudCard ID Photos app connector for Vercel AI SDK is a standout in the Productivity 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 CloudCard ID Photos, 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 CloudCard ID Photos MCP Server
Empower your AI agent with access to the CloudCard (RemotePhoto) platform to automate your ID card production and photo approval workflows.
The Vercel AI SDK gives every CloudCard ID Photos 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
- Photo Approval Workflow. List submitted photos and approve or deny them with specific reason codes directly through natural language.
- Cardholder Management. Register new people (students/employees) and retrieve detailed profile and submission history.
- Submission Standards. Access organization-level photo requirements and dimensions to ensure high-quality ID production.
- Operational Oversight. Monitor event webhooks, check API health status, and retrieve distribution office locations.
The CloudCard ID Photos 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 CloudCard ID Photos tools available for Vercel AI SDK
When Vercel AI SDK connects to CloudCard ID Photos through Vinkius, your AI agent gets direct access to every tool listed below — spanning id-management, photo-approval, cardholder-data, 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.
Approve a submitted photo
Verify CloudCard API connectivity
Requires a reason code or message for the cardholder. Deny a submitted photo
Get current API user info
Get details for a specific person
Get organization metadata
List distribution locations
List all cardholders (people)
List active event webhooks
g., format, size, background). Get submission requirements
Supports filtering by status. List all photo submissions
Requires email and first/last name. Add a new person to CloudCard
Connect CloudCard ID Photos to Vercel AI SDK via MCP
Follow these steps to wire CloudCard ID Photos 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 CloudCard ID Photos MCP Server
Vercel AI SDK provides unique advantages when paired with CloudCard ID Photos 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 CloudCard ID Photos integration everywhere
Built-in streaming UI primitives let you display CloudCard ID Photos 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
CloudCard ID Photos + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CloudCard ID Photos MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CloudCard ID Photos in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CloudCard ID Photos tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CloudCard ID Photos capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CloudCard ID Photos through natural language queries
Example Prompts for CloudCard ID Photos in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CloudCard ID Photos immediately.
"List all pending photo submissions in CloudCard."
"Deny photo ID '789' because the background is not plain white."
"Show me the details for cardholder 'john@example.com'."
Troubleshooting CloudCard ID Photos MCP Server with Vercel AI SDK
Common issues when connecting CloudCard ID Photos to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCloudCard ID Photos + Vercel AI SDK FAQ
Common questions about integrating CloudCard ID Photos 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.