How to Use the eSign (e签宝) MCP in Vercel AI SDK

Q: Does this MCP Server support document retrieval?

You can use downloaddocs to pull files directly into your memory buffer. From there, you can process them however your application requires.

Stream eSign (e签宝) contract status directly into your Vercel AI SDK interface for real-time document tracking.

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Connect eSign (e签宝) MCP to Vercel AI SDK

Create your Vinkius account to connect eSign (e签宝) 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 eSign (e签宝) with Vercel AI SDK

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Automate contract creation in Vercel AI SDK

Trigger `create_sign_flow` directly from your edge functions to generate new signing requests without leaving your codebase. This cuts out the middleman and keeps your document logic close to your UI state. You'll use `add_signers` and `add_docs` to populate these flows dynamically. Your users see the result updates instantly as the data streams back into your React or Next.js components.

Fetch execution links for immediate signing

Call `get_execute_url` to grab the exact signing path for any active flow. It’s the fastest way to get a user from a pending status to an active signature page. Since this MCP Server works with streaming, you can pipe these URLs straight into a button or a redirect. It turns a multi-step process into a single click for your end user.

Manage templates with AI-driven lookups

Use `list_templates` to pull available contract drafts into your application context. You can then let your agent decide which template fits the current business need. This keeps your signature process consistent. You never have to hardcode IDs when the MCP Server can find them for you on the fly.

Setup guide

Set up eSign (e签宝) 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 eSign (e签宝) 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 eSign (e签宝) 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 eSign (e签宝). 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 eSign (e签宝) MCP in Vercel AI SDK

Install the MCP client via npm and point it to the Vinkius endpoint. You'll pass the tools into your generateText call to let your agent handle the flow logic.

Yes, by mapping the tools to your agent's definition. The agent decides when to fire `start_flow` based on the conversation context.

The server uses secure, ephemeral tokens for every request. Sensitive document metadata stays within your authorized scope and isn't stored by the transport layer.

You can use `download_docs` to pull files directly into your memory buffer. From there, you can process them however your application requires.

The platform handles identity proofing during the signing process. The MCP Server simply passes the signer details to the underlying legal infrastructure.

Use it with your favorite AI tools

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

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