How to Use the Fax.Plus MCP in Vercel AI SDK

Q: How do I connect Fax.Plus to the Vercel AI SDK?

Install the packages using npm install ai @ai-sdk/mcp first. Next, instantiate the client with createMCPClient using your HTTP endpoint, pass the tools to streamText, and remember to call mcpClient.close() when the session ends.

Q: Can I use the Vercel AI SDK to stream Fax.Plus transmission logs?

Yes, you can stream real-time updates by passing listfaxes to the SDK's text generation functions. This lets your React components render incoming and outgoing fax logs as the agent receives them.

Q: How does Vercel AI SDK handle Fax.Plus authentication?

The SDK uses the authProvider configuration inside createMCPClient to manage OAuth tokens. This setup ensures your agent can securely access getaccountinfo without exposing raw credentials to the browser.

Q: Can I stop a pending fax using this MCP Server?

Call canceloutboxjob through your agent to abort any active transmission. This tool lets your UI trigger an immediate cancellation if a user spots an error in their document.

Pipe real-time fax status and transmission logs directly into your Next.js UI using the Vercel AI SDK.

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Connect Fax.Plus MCP to Vercel AI SDK

Create your Vinkius account to connect Fax.Plus 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 Fax.Plus with Vercel AI SDK

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Track faxes in your Vercel AI SDK frontend

The `get_fax_details` tool retrieves the delivery state, recipient info, and sender details for any document. When you hook this up to your Next.js app, your AI client can watch these details and push live updates straight to the browser. Users don't have to stare at a static loading spinner while waiting for a confirmation. Instead, the server feeds this metadata into `streamText`, letting the interface render the transmission progress line by line.

Render active outbox queues on the edge

The `list_outbox_jobs` tool displays all pending transmissions currently waiting in your queue. Running this on Vercel Edge Functions means your agent can quickly fetch the queue and show users what is happening behind the scenes. If a job gets stuck, the agent can call `cancel_outbox_job` to stop the transmission immediately. This setup keeps your UI snappy because the MCP client handles the API calls in the background while streaming the results.

Select new numbers inside your chat interface

The `search_available_numbers` tool finds purchasable fax numbers based on geographic criteria. Your AI client can present these options to users as they appear, letting them claim a number without leaving the chat. Once they pick one, the agent uses `list_fax_numbers` to show their updated active inventory. This MCP Server setup creates a conversational interface where the client UI updates dynamically as the backend processes the selection.

Setup guide

Set up Fax.Plus 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 Fax.Plus 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 Fax.Plus 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 Fax.Plus. 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 Fax.Plus MCP in Vercel AI SDK

Install the packages using `npm install ai @ai-sdk/mcp` first. Next, instantiate the client with `createMCPClient` using your HTTP endpoint, pass the tools to `streamText`, and remember to call `mcpClient.close()` when the session ends.

Yes, you can stream real-time updates by passing `list_faxes` to the SDK's text generation functions. This lets your React components render incoming and outgoing fax logs as the agent receives them.

The SDK uses the `authProvider` configuration inside `createMCPClient` to manage OAuth tokens. This setup ensures your agent can securely access `get_account_info` without exposing raw credentials to the browser.

Call `cancel_outbox_job` through your agent to abort any active transmission. This tool lets your UI trigger an immediate cancellation if a user spots an error in their document.

All PDF documents and fax metadata processed by the server remain inside the secure V8 sandbox. Since the connection uses ephemeral endpoints, your actual fax content never sits on third-party servers.

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