Sharpei MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Sharpei Status, Create Application, Get Application, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sharpei 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 Sharpei app connector for Vercel AI SDK is a standout in the Ecommerce category — giving your AI agent 10 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 Sharpei, 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 Sharpei MCP Server
Connect your Sharpei account to any AI agent and manage identity verification workflows through natural conversation.
The Vercel AI SDK gives every Sharpei tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Application Management — List, inspect, and create verification applications
- Document Review — View uploaded documents and check verification results
- Status Tracking — Monitor verification progress for each application
- Subscription Management — View plans and features
- Webhook Configuration — List configured webhook endpoints
The Sharpei MCP Server exposes 10 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 10 Sharpei tools available for Vercel AI SDK
When Vercel AI SDK connects to Sharpei through Vinkius, your AI agent gets direct access to every tool listed below — spanning identity-verification, kyc, biometric-check, 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.
Verify API connectivity
Create a verification application
Get application details
Get document details
List application documents
Get subscription details
Get verification status
List all applications
List subscriptions
List webhooks
Connect Sharpei to Vercel AI SDK via MCP
Follow these steps to wire Sharpei 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 Sharpei MCP Server
Vercel AI SDK provides unique advantages when paired with Sharpei 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 Sharpei integration everywhere
Built-in streaming UI primitives let you display Sharpei 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
Sharpei + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sharpei MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sharpei in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sharpei tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sharpei capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sharpei through natural language queries
Example Prompts for Sharpei in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sharpei immediately.
"List all verification applications."
"Check verification status for application APP-2891."
"Create a verification application for Jane Smith, jane@example.com."
Troubleshooting Sharpei MCP Server with Vercel AI SDK
Common issues when connecting Sharpei to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSharpei + Vercel AI SDK FAQ
Common questions about integrating Sharpei 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.