How to Use the Chili Piper MCP in Vercel AI SDK

Stream Chili Piper meeting data directly into your Vercel AI SDK interface for real-time scheduling updates.

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Connect Chili Piper MCP to Vercel AI SDK

Create your Vinkius account to connect Chili Piper 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 Chili Piper with Vercel AI SDK

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Live meeting data in Vercel AI SDK

Feed your UI live booking metrics by calling `list_booked_meetings`. Your components react immediately to the data stream instead of waiting for a batch process to finish. Everything stays synced because the Vercel AI SDK handles the state changes as the server pushes updates. You don't have to manually refresh the view when a new lead enters the pipeline.

Manage routing queues from your frontend

Pull active queue configurations using `list_chili_queues` to display real-time availability. Your users see exactly which routing logic applies to their current lead session. This MCP Server provides the raw data your React components need to render complex scheduling forms. It cuts out the middleman and keeps your application logic lean.

Query account details on the fly

Use `get_chili_account_info` to grab user-specific settings for personalized scheduling experiences. You get the exact account data needed to customize the meeting flow without extra API calls. These results pass cleanly into your streamText functions. It makes building interactive sales dashboards in Next.js much faster than writing custom backends.

Setup guide

Set up Chili Piper 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 Chili Piper 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 Chili Piper 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 Chili Piper. 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 Chili Piper MCP in Vercel AI SDK

Install the necessary packages and initialize the client using your endpoint URL. Pass the tools retrieved from the server directly into your generateText call.

Yes. The SDK is built to process tool calls as part of the streaming response. Your UI updates as soon as the data arrives from the server.

Not at all. The server communicates over optimized transports that keep latency low. You only pull the specific data you need for the current interaction.

It stays within your application memory during the session. We use ephemeral connections to ensure your state is clean every time the user refreshes.

We protect your meeting logs and contact records with strict endpoint tokens. No data is stored on our servers; it flows directly from the source to your client.

Use it with your favorite AI tools

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