How to Use the Autenti MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream Autenti document statuses to my UI?

Yes. Your agent can call listsignatureprocesses and stream the status of every pending contract right into your React components. Users see real-time updates without refreshing.

Q: What happens if the Autenti API goes down during a Vercel AI SDK generation?

Catch the failure early. Have your agent run checkapihealth before attempting to create a new signature process. You can fallback to a graceful error message in the chat.

Q: Do I need to manage webhooks manually for signature updates?

Not always. You can build a tool call that triggers listconfiguredwebhooks to verify your endpoints are active. The AI handles the verification step for you.

Stream legal-grade document signing directly into your Next.js frontend with the Autenti MCP Server for Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Autenti MCP to Vercel AI SDK

Create your Vinkius account to connect Autenti 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 Autenti with Vercel AI SDK

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Claude

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Stream eIDAS signatures into React

Building a frontend where users need to sign contracts usually means bouncing them to another tab. Vercel AI SDK changes that by streaming the Autenti MCP Server tools straight to your UI. The user types a request, and your application calls `create_new_signature_process` in the background. They watch the contract metadata populate in real-time. You don't make them wait behind a loading spinner while the backend figures out what to do. The agent grabs the authenticated profile with `get_user_account_profile` and sets up the transaction instantly.

Bind contacts to active documents

Adding signers requires exact details, especially for European legal compliance. Your AI client handles this natively by running `add_new_contact` based on chat input. It pulls names and emails from the conversation and pushes them into your address book. Once the contacts exist, the agent maps them to the agreement. It fires off `list_process_participants` to confirm everyone is attached correctly. The frontend updates immediately, showing the user exactly who is required to sign before anything gets locked down.

Execute process steps from chat

Document workflows rarely follow a straight line. Sometimes a user needs to reject a draft, while other times they want to send it immediately. The AI uses `list_available_process_actions` to figure out exactly what moves are legal at that specific moment. You present those options as clickable buttons streamed into your Svelte or Vue interface. When the user clicks a button, the agent triggers `execute_process_action` and moves the paperwork forward. Edge functions handle the routing without breaking a sweat.

Setup guide

Set up Autenti 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 Autenti 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 Autenti 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 Autenti. 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.

Why Choose Vinkius

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Common questions about Autenti MCP in Vercel AI SDK

Install the @ai-sdk/mcp package via npm. Initialize it using createMCPClient with your HTTP transport URL. Pass the returned tools into generateText or streamText.

Yes. Your agent can call `list_signature_processes` and stream the status of every pending contract right into your React components. Users see real-time updates without refreshing.

Catch the failure early. Have your agent run `check_api_health` before attempting to create a new signature process. You can fallback to a graceful error message in the chat.

Not always. You can build a tool call that triggers `list_configured_webhooks` to verify your endpoints are active. The AI handles the verification step for you.

The server processes highly sensitive PII, including full names, email addresses, and legal contract metadata. Vinkius isolates this execution within a V8 sandbox. Tokens are ephemeral and destroyed the moment the session closes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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