Moneypenny MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Moneypenny Status, Get Activity Summary, Get Recent Chats, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Moneypenny through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Moneypenny app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Moneypenny, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Moneypenny MCP Server
Connect your Moneypenny account to any AI agent and review your business communications through natural conversation.
The Vercel AI SDK gives every Moneypenny tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Call Messages — Browse telephone answering messages by day, week, month, or custom date range.
- Live Chat Logs — Access live chat conversation transcripts with time-based filtering.
- Activity Summary — Get a combined overview of today's calls and chats in a single dashboard view.
- Time-Based Views — Instantly access today's, this week's, or this month's communications.
The Moneypenny MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Moneypenny tools available for Vercel AI SDK
When Vercel AI SDK connects to Moneypenny through Vinkius, your AI agent gets direct access to every tool listed below — spanning virtual-receptionist, live-chat, call-answering, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Moneypenny API connectivity
Get a summary of all calls and chats for today
Returns all new chat conversations. Get the most recent live chat conversations
Get all call messages from the current month
Get all call messages from the past 7 days
Get all live chat conversations from the past 7 days
Get all call messages from today
Get all live chat conversations from today
Format dates as MM/DD/YYYY. List telephone answering messages by date range
Optionally filter by start and end time (ISO 8601). List live chat conversation logs by date range
Connect Moneypenny to Vercel AI SDK via MCP
Follow these steps to wire Moneypenny into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Moneypenny MCP Server
Vercel AI SDK provides unique advantages when paired with Moneypenny through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Moneypenny integration everywhere
Built-in streaming UI primitives let you display Moneypenny tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Moneypenny + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Moneypenny MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Moneypenny in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Moneypenny tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Moneypenny capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Moneypenny through natural language queries
Example Prompts for Moneypenny in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Moneypenny immediately.
"Show me today's call messages."
"Give me a summary of today's activity."
"Show me the live chat logs from this week."
Troubleshooting Moneypenny MCP Server with Vercel AI SDK
Common issues when connecting Moneypenny to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMoneypenny + Vercel AI SDK FAQ
Common questions about integrating Moneypenny MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.