How to Use the TextP2P MCP in Vercel AI SDK

Q: Is the process of adding contacts via TextP2P visible to the user?

Yes, because you're using the SDK. When a tool like addtextp2pcontact runs, its output streams into your frontend UI, providing immediate visual confirmation to the end-user.

Real-time TextP2P Status Updates with Vercel AI SDK: Stream live results directly into your frontend UI.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect TextP2P MCP to Vercel AI SDK

Create your Vinkius account to connect TextP2P to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup TextP2P with Vercel AI SDK

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Claude

Perplexity

Stream campaign status updates.

Build a dashboard that shows the process as it happens. When you call `get_textp2p_balance`, instead of waiting for a spinner, your AI client streams the current balance right onto the screen. This live data flow makes the app feel instant. This streaming capability is perfect for monitoring large-scale campaigns where users need to see progress—like tracking if messages are queued or how many records were added via `add_textp2p_contact()`.

Visualize complex TextP2P tool calls.

The SDK lets you display the full chain of events. When your user triggers a broadcast, you stream the sequence: first calling `list_textp2p_lists`, then executing multiple calls to `send_textp2p_sms()`, and finally showing confirmation for each successful action. This real-time feedback loop builds trust in your product because the end-user sees exactly when and how the MCP Server is doing its work.

Handle varied messaging workflows.

Your front end can manage different outreach types simultaneously. You build a component that calls `send_textp2p_mms()` for visual announcements, but also streams the results of calling `send_textp2p_rvm()`. The data appears in real-time on the UI. It's ideal for complex campaign forms where users need to see confirmations for both sending rich media and simple text messages.

Setup guide

Set up TextP2P 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 TextP2P 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 TextP2P 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 TextP2P. 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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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

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Common questions about TextP2P MCP in Vercel AI SDK

You use the streaming methods provided by your client. When you call `get_textp2p_balance`, the result streams directly into your React or Svelte component, making the data appear instantly without a loading delay.

Yes. You can build UI elements that trigger MCP calls for TextP2P services. For instance, clicking a 'Send Now' button calls `send_textp2p_sms()` and streams the confirmation status.

The server primarily touches contact metadata (phone numbers) and account billing information. Streaming these results means your UI updates in real-time with usage metrics.

Yes, because you're using the SDK. When a tool like `add_textp2p_contact` runs, its output streams into your frontend UI, providing immediate visual confirmation to the end-user.

Since it's an SDK, you control the calls. You can write functions that sequence `send_textp2p_sms()` and then `send_textp2p_mms()`, displaying the results of both in a continuous stream.

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