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How to Use the BunnyDoc MCP in Vercel AI SDK

Pipe real-time eSignature tracking and document generation directly into your React or Next.js UI using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect BunnyDoc MCP to Vercel AI SDK

Create your Vinkius account to connect BunnyDoc 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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Trigger eSignatures live in your Next.js frontend

The `create_signature_request` tool initiates a new signature request from your existing BunnyDoc templates. Your AI client fires this tool, and instead of waiting for a slow API cycle, this MCP Server streams the resulting envelope metadata directly to the user's screen in real-time. You map this output to a React component that updates dynamically. As the signer interacts with the doc, the client keeps the interface fresh without manual page refreshes.

Manage your signing team inside the chat interface

The `add_team_member` tool lets your agent invite new colleagues to your signing workspace. You can also run `list_team_members` to audit access levels and verify who has permission to view envelopes. Because the Vercel AI SDK handles streaming tool calls, your users see the invitation status change instantly. There is no lag, no blank screens, and no clunky page reloads.

Subscribe to document events with this MCP Server

The `subscribe_webhook` tool registers a new HTTP endpoint to receive instant notifications whenever a client signs a document. When your agent invokes this tool, it establishes a direct line for BunnyDoc to push updates back to your serverless backend. Combined with `unsubscribe_webhook`, you control exactly when you receive payload alerts. This setup ensures your edge functions only spin up when a signature event actually happens, keeping execution costs low.

Setup guide

Set up BunnyDoc 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all BunnyDoc tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 BunnyDoc transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BunnyDoc. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BunnyDoc MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and pass the Vinkius endpoint to `createMCPClient`. You then feed the tools directly into `streamText` to let your agent call them.
Yes. The agent calls `list_templates` to grab your active document templates. It can then immediately pass the template ID to prepare a new signing request.
No. Vinkius hosts the server, so your Vercel AI SDK code runs entirely in edge functions or serverless environments. You only need the single endpoint token to connect.
The agent uses `get_envelope_status` to pull the latest signature state. You can display this status in a streaming React component to show users the progress in real-time.
Your actual signature files and document contents stay secure inside BunnyDoc's storage. The MCP server only transfers metadata like envelope IDs and status strings through Vinkius's isolated sandbox, ensuring zero raw documents leak to the client.

Start using the BunnyDoc MCP today

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