How to Use the eSignly Electronic Signature MCP in Vercel AI SDK

Q: How do I manage API rate limits for eSignly Electronic Signature in Vercel AI SDK?

You can check your current limits by calling getesignlyaccountmetadata inside your generative workflow. This lets your agent gracefully handle signature volume before triggering API errors on the frontend.

Stream real-time eSignly signature status and audit trails directly to your Vercel AI SDK frontend.

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Connect eSignly Electronic Signature MCP to Vercel AI SDK

Create your Vinkius account to connect eSignly Electronic Signature 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 eSignly Electronic Signature with Vercel AI SDK

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Live Signature Progress in Vercel AI SDK UI

Stop making users stare at loading spinners while waiting for contract updates. By feeding `list_document_signers` directly into your streaming UI, your React or Next.js app shows exactly who has signed and who is holding up the deal in real time. Your agent calls the tool and immediately streams the signer array to the client. This means you can render live progress bars or warning badges for outstanding signatures without writing custom polling endpoints.

Instant Audit Trails on the Edge

Edge functions need to be fast and lightweight. When your Vercel AI SDK agent executes `list_document_audit_trail`, it bypasses heavy backend middleware to pull legal compliance logs instantly. The agent streams the raw audit steps straight to your UI component. This allows users to verify IP addresses and timestamps for any signed document without reloading the page.

Dynamic Template Selection for Next.js Apps

Let your AI client browse your contract library on the fly. By calling `list_esign_templates` and `get_template_details`, the agent can inspect available templates and suggest the correct document layout based on user conversation. This turns static document generation into a live, conversational setup. The user tells the Vercel AI SDK agent what they need to sign, and the agent pulls the matching template configuration to prepare the workflow.

Setup guide

Set up eSignly Electronic Signature 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 eSignly Electronic Signature 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 eSignly Electronic Signature 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 eSignly Electronic Signature. 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 eSignly Electronic Signature MCP in Vercel AI SDK

You initialize the MCP client and pass its tools directly into streamText. When the agent calls `list_successfully_signed_documents`, the tool output streams straight to your React UI as a live JSON chunk.

Yes. The MCP server runs over lightweight HTTP/SSE, allowing your edge-deployed Vercel AI SDK agent to run `list_esign_templates` without hitting cold-start bottlenecks or database connection limits.

You can check your current limits by calling `get_esignly_account_metadata` inside your generative workflow. This lets your agent gracefully handle signature volume before triggering API errors on the frontend.

You use createMCPClient to connect to Vinkius. Then, you spread mcpClient.tools() into the tools parameter of streamText so your agent can dynamically fetch document details.

Absolutely. This MCP Server only handles metadata, audit logs, and signer emails via `list_esign_contacts` and `list_document_audit_trail`. Your actual document PDFs and raw signature images never pass through Vinkius; they remain securely locked within eSignly's compliant storage.

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