How to Use the Filemail MCP in Vercel AI SDK

Stream Filemail transfer data directly into your React or Next.js UI using Vercel AI SDK for real-time file management.

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Connect Filemail MCP to Vercel AI SDK

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

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Real-time transfer status in your UI

Pipe live file transfer data straight into your frontend components. When your app calls `get_transfer_details`, the result streams into your UI without waiting for a backend response. This keeps your interface responsive while handling large uploads. Users see progress updates the second the server processes the state change.

Manage Filemail transfers on the edge

Execute `initialize_transfer` and `complete_transfer` directly from your Edge Functions. This MCP Server handles the handshake while your code stays lean and fast. Your application logic stays focused on the user experience. The server manages the heavy lifting of the Filemail API, keeping your deployment footprint minimal.

Automated user and contact lookups

Fetch user profiles and contact lists instantly using `get_user` and `list_contacts`. Display this information in your dashboard to help users manage their Filemail recipients. Your AI client populates form fields automatically with this data. It removes the need for manual entry, speeding up the entire file delivery workflow.

Setup guide

Set up Filemail 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 Filemail 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 Filemail 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 Filemail. 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.

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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 Filemail MCP in Vercel AI SDK

You pass your credentials through the authProvider when initializing the connection. This ensures every `initialize_transfer` request remains associated with your authenticated session.

Yes. The server manages the transfer lifecycle, allowing your app to trigger and track uploads of any size. You just handle the tool results in your UI components.

You receive an error object back from the tool call. You can then use your existing React error boundaries to display a retry prompt to the user.

Yes, it supports standard authentication flows. Configure your client to handle the token exchange before making any tool calls.

Data privacy is handled at the transport layer. The server only touches your transfer metadata and contact lists, which are never stored on Vinkius infrastructure.

Use it with your favorite AI tools

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