How to Use the DottedSign MCP in Vercel AI SDK

Q: Does DottedSign in Vercel AI SDK support template selection?

It does. Use listtemplates to fetch your available options and present them to the user before calling createtaskfromtemplate.

Stream DottedSign e-signature tasks directly into your React or Next.js UI using the Vercel AI SDK.

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Connect DottedSign MCP to Vercel AI SDK

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

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Real-time task management in your UI

Trigger document workflows without leaving your application state. By using `create_task_from_template`, your front-end components can pull signing requests directly into the user view. Your application handles the response stream as the DottedSign MCP Server executes the request. It avoids the typical wait times associated with background API calls.

Audit trail streaming for your frontend

Display legal compliance data to your users the second a document is signed. The `get_audit_trail` tool returns structured logs that you can pipe straight into your UI. This ensures your users see the signing history without you needing to build a complex polling system for the backend.

Edge-ready document control

Manage your entire signing lifecycle from edge functions. With `update_task` and `cancel_task`, you maintain full control over active workflows. Because the MCP Server connects over HTTP, your edge-deployed code interacts with DottedSign as if it were a local module.

Setup guide

Set up DottedSign 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 DottedSign 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 DottedSign transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DottedSign. 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 DottedSign MCP in Vercel AI SDK

Install the MCP client package via npm and point it at your Vinkius endpoint. You then pass the tool definitions directly into your generateText or streamText calls.

Yes, you can iterate through your document list and trigger `create_task` calls sequentially. The SDK handles the asynchronous nature of these requests automatically.

It does. Use `list_templates` to fetch your available options and present them to the user before calling `create_task_from_template`.

Vinkius manages the auth layer so your credentials stay hidden. Your application only interacts with the server using your provided endpoint token.

The server only touches your document metadata and task logs. No sensitive document content is stored on Vinkius infrastructure, keeping your audit trails private.

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