How to Use the Ugosign MCP in Vercel AI SDK

Q: How do I list existing documents with Ugosign and the Vercel AI SDK?

You use the listdocuments tool within your MCP client. This fetches all available files, letting you display them immediately in your Next.js application.

Q: Can I check signature requests using Ugosign and the Vercel AI SDK?

You can call getsignaturerequest to pull specific details. This lets your agent immediately show the current status of a signing process in the user's view.

Stream real-time eSignature data directly into your Next.js frontend with Vercel AI SDK.

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Connect Ugosign MCP to Vercel AI SDK

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

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Process Signature Requests

The `create_signature_request` tool lets you instantly set up a document signing workflow. You pass the required data as a JSON string, and your UI updates immediately. You'll see the status of new requests using `get_signature_request`, making it easy to track progress in real time.

Manage Document Lists

Need to show users what they can sign? Call `list_documents` to fetch a full list. If you need specific metadata, use `get_document` to pull details on any given file. This keeps the data flowing into your client-side React components without extra API calls.

Check Organization Status

`get_organization` pulls all the necessary info about a signer's company. This is crucial for validating who signed what. It works alongside `list_signature_requests`, giving your user an immediate picture of signing history and organizational context.

Setup guide

Set up Ugosign 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 Ugosign 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 Ugosign 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 Ugosign. 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 Ugosign MCP in Vercel AI SDK

Yep. Because you're using the Vercel AI SDK, tool results stream right into your UI as they happen. You won't wait on a loading spinner; the data appears live.

You use the `list_documents` tool within your MCP client. This fetches all available files, letting you display them immediately in your Next.js application.

This server touches three types of sensitive data: documents, organization details, and signature requests. Remember to pass that info securely through your Edge Function.

Absolutely. The entire point here is streaming. You'll get real-time output, perfect for building interactive user experiences where speed matters.

You can call `get_signature_request` to pull specific details. This lets your agent immediately show the current status of a signing process in the user's view.

Use it with your favorite AI tools

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