How to Use the Saysimple MCP in Vercel AI SDK

Q: Can Vercel AI SDK users view Saysimple channel status?

Yes, just call listchannels to see what is active. It returns the raw list for your frontend to display.

Q: How do I handle errors when sending messages via Vercel AI SDK?

Check the tool response object returned by sendmessage. If it fails, the API returns a clear error code you can show your user.

Q: Does Saysimple support webhook monitoring in Vercel AI SDK?

Use listwebhooks to see what is currently configured. It lets you audit your messaging setup from inside your app.

Stream Saysimple messaging data directly into your Vercel AI SDK frontends for real-time customer interactions.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Saysimple MCP to Vercel AI SDK

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

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Live message streaming in Vercel AI SDK

Connect your frontend to Saysimple and push message data straight to the user. Your UI updates instantly when `list_chats` pulls new activity. Stop waiting for spinners. Use `get_chat` to render live conversation states while your agent builds responses in the browser.

Automated template injection

Fetch available messaging templates with `list_templates` to populate your UI components. It keeps your message formatting consistent without manual copy-pasting. Need specific details? Use `get_template` to verify content before your agent fires off a message using `send_message`.

Direct contact management

Pull contact records into your application state with `list_contacts`. It gives your interface immediate access to user metadata. Verify details using `get_contact` before triggering actions. This MCP Server ensures your client always has the latest info.

Setup guide

Set up Saysimple 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 Saysimple 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 Saysimple transactions",
});

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

Get your connection token →

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