Onfido MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Applicant, Create Check, Create Workflow Run, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Onfido 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 MCP Server for Vercel AI SDK
The Onfido MCP Server for Vercel AI SDK is a standout in the Human Resources category — giving your AI agent 6 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 Onfido, 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 Onfido MCP Server
Connect your Onfido account to any AI agent to streamline your KYC (Know Your Customer) and identity verification processes through natural conversation.
The Vercel AI SDK gives every Onfido tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Applicant Management — Create and manage applicant profiles representing individuals undergoing verification.
- Workflow Studio Integration — Start and monitor complex verification workflows (Workflow Runs) to automate multi-step identity checks.
- Legacy Checks — Create classic checks for specific report combinations like document verification and facial similarity.
- Detailed Reporting — Retrieve comprehensive verification reports, including results and granular breakdowns of identity data.
- Real-time Notifications — Register webhooks to receive asynchronous updates on verification statuses directly to your systems.
The Onfido MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Onfido tools available for Vercel AI SDK
When Vercel AI SDK connects to Onfido through Vinkius, your AI agent gets direct access to every tool listed below — spanning identity-verification, kyc, applicant-screening, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create applicant on Onfido
Create a new Onfido applicant
Create check on Onfido
Create a new Check (Legacy/Classic)
Create workflow run on Onfido
Create a new Workflow Run
Get report on Onfido
Retrieve a Verification Report
Get workflow run on Onfido
g., awaiting_input, processing, approved, review, declined). Retrieve a Workflow Run
Register webhook on Onfido
Register a new Webhook
Connect Onfido to Vercel AI SDK via MCP
Follow these steps to wire Onfido into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Onfido MCP Server
Vercel AI SDK provides unique advantages when paired with Onfido 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 Onfido integration everywhere
Built-in streaming UI primitives let you display Onfido 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
Onfido + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Onfido MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Onfido in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Onfido tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Onfido capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Onfido through natural language queries
Example Prompts for Onfido in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Onfido immediately.
"Create a new Onfido applicant for John Doe (john.doe@example.com)."
"Start a verification workflow 'wf_abc' for applicant 'app_12345'."
"Retrieve the details for report ID 'rep_xyz789'."
Troubleshooting Onfido MCP Server with Vercel AI SDK
Common issues when connecting Onfido to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOnfido + Vercel AI SDK FAQ
Common questions about integrating Onfido 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.Explore More MCP Servers
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