How to Use the Cleared (ClearedIn) MCP in Vercel AI SDK

Q: How does the Cleared (ClearedIn) MCP Server handle streaming UI updates in Vercel AI SDK?

The server exposes listdigitalsignatures as a tool that your agent invokes during a chat session. The SDK streams the tool call and its output directly to the frontend, letting you render custom React components for each signature request.

Q: What happens when a signature request fails?

Your agent will call getsignaturedetails to find the failure reason. The SDK then sends this structured data to your frontend, where you can display a retry button or an error message.

Feed screening checks and identity verifications directly into your React UI in real-time using Vercel AI SDK.

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Connect Cleared (ClearedIn) MCP to Vercel AI SDK

Create your Vinkius account to connect Cleared (ClearedIn) 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 Cleared (ClearedIn) with Vercel AI SDK

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Stream background checks into Vercel AI SDK interfaces

When you run a background check, nobody wants to stare at a loading spinner. This MCP Server lets your Next.js frontend pull live updates using `list_background_screenings` and feed them straight to your users. They see the progress step-by-step as your agent pulls the data. If a check flags something, your app reacts instantly. The agent calls `get_screening_details` to grab the exact blocker, rendering the specific issues on the screen without a full page reload.

Render live verification states in React

Verifying an identity shouldn't feel like a black box. By hooking up `list_identity_verifications` to your Vercel AI SDK setup, your chat interface displays the verification queue dynamically. The moment a user submits their ID, your agent calls `get_verification_details` to check the status. The SDK streams the result directly into your custom UI component, showing a clear pass or fail immediately.

Track document signatures in your streaming UI

Stop polling your backend to see if a contract is signed. By adding this MCP Server to your stack, your agent uses `list_digital_signatures` to monitor pending documents and instantly updates the chat state. When the signature status changes, the SDK fetches the specifics via `get_signature_details` and updates the user's screen. It makes signing flows feel like a natural conversation rather than a clunky form.

Setup guide

Set up Cleared (ClearedIn) 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 Cleared (ClearedIn) 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 Cleared (ClearedIn) 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 Cleared (ClearedIn). 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 Cleared (ClearedIn) MCP in Vercel AI SDK

You can manage rate limits by using the Vercel AI SDK middleware to cache responses from `list_background_screenings`. The SDK handles the streaming overhead, but caching prevents redundant calls to the Cleared API when users repeatedly ask for status updates.

Yes, this MCP Server works perfectly in Edge environments. You initialize the client using `createMCPClient` in your Next.js route handlers, allowing your agent to call `get_verification_details` with minimal latency.

The server exposes `list_digital_signatures` as a tool that your agent invokes during a chat session. The SDK streams the tool call and its output directly to the frontend, letting you render custom React components for each signature request.

Your agent will call `get_signature_details` to find the failure reason. The SDK then sends this structured data to your frontend, where you can display a retry button or an error message.

This server processes sensitive identity verifications and background screenings through a secure sandbox. No personal data from `get_screening_details` is stored on Vinkius; it passes directly to your secure Edge Function.

Use it with your favorite AI tools

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