How to Use the Moneypenny MCP in Vercel AI SDK

Q: Can I see Moneypenny call logs in my Vercel AI SDK dashboard?

Yes, you use the listcallmessages tool to fetch records. The server returns the data in a clean format that you can map directly to your interface components.

Stream live call and chat data into your Vercel AI SDK interface to keep your users updated as messages arrive.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Moneypenny MCP to Vercel AI SDK

Create your Vinkius account to connect Moneypenny 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.

GDPR Free for Subscribers

Setup Moneypenny with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time communication monitoring

Feed live receptionist data directly into your frontend components. Using `get_today_calls` and `get_today_chats` ensures that your UI reflects the current status of your business operations without waiting for page refreshes. Your users see information populating their dashboard as it happens. Since this MCP server supports streaming, the data flows into your generateText calls and updates the view instantly.

Instant message retrieval

Pull specific conversation threads whenever you need them. The `list_call_messages` tool lets you grab recent phone correspondence and format it exactly how your application expects to display it. Filtering by date range keeps your API overhead low and your response times fast. It is the cleanest way to surface historical contact details within your React or Next.js app.

Operational status checks

Verify your connection to the receptionist platform before running heavy tasks. Calling `check_moneypenny_status` is the first thing you should do in your setup to confirm the service is reachable. This prevents your UI from hanging when the backend is unreachable. It provides a simple boolean signal to trigger error states or retry logic in your client code.

Setup guide

Set up Moneypenny 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 Moneypenny 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 Moneypenny 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 Moneypenny. 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.

Connect Moneypenny now

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 Moneypenny MCP in Vercel AI SDK

You connect the MCP server using the standard transport configuration provided by the SDK. Once connected, your agent calls the tools directly to pull current logs into your UI state.

Yes, you use the `list_call_messages` tool to fetch records. The server returns the data in a clean format that you can map directly to your interface components.

It does. Because the server supports standard transport protocols, the output from tools like `get_recent_chats` streams into your text generation streams without delay.

Data is transmitted directly from the source to your agent. Vinkius manages the secure endpoint connection, but your raw call and chat records never touch our persistent storage.

Filtering is simple. You pass your ISO 8601 start and end times to the `list_chat_logs` tool to get exactly the timeframe you need for your analytics.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript