How to Use the Boostapp MCP in Vercel AI SDK

Q: Can I handle user auth for Boostapp inside Vercel AI SDK?

You can use the authProvider option when setting up your client. This lets you pass the correct token for each user session so they only modify their own sales pipelines.

Q: What happens if a user forgets to provide a phone number?

The createlead tool requires both a full name and a phone number. If one is missing, your agent will ask the user to clarify before executing the tool.

Pipe new leads straight from your Next.js frontend into Boostapp in real-time using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Boostapp MCP to Vercel AI SDK

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

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Feed Boostapp Leads Live via Vercel AI SDK

This Boostapp MCP Server hooks up the `create_lead` tool directly to your streaming frontend. When a user chats with your agent, the lead's full name and phone number write to your sales pipeline instantly without making the user wait for a page reload. Because Vercel AI SDK handles edge streaming, your UI shows the pipeline stage update as it happens. You just pass the tools from the client into `streamText` and let the UI update live.

Clean Edge Function Lead Capture

The Boostapp MCP Server runs natively inside light edge runtimes without packing heavy database drivers. Your AI agent parses raw conversation text, extracts the required phone number, and triggers `create_lead` in one hop. Since edge functions demand a low footprint, this setup avoids bloated SDKs. You initialize the HTTP client, run the tool, and call `mcpClient.close()` to keep your execution times near zero.

Direct Sales Pipeline Updates From Chat

This Boostapp integration lets you assign pipeline stages and subscription details the moment a prospect drops their contact info. Your agent runs `create_lead` with optional parameters to categorize the lead immediately. No middleman servers or complex webhooks required. The tool returns the created lead's status directly to the Vercel AI SDK context so your UI reflects the exact pipeline stage in real-time.

Setup guide

Set up Boostapp 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 Boostapp 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 Boostapp 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 Boostapp. 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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Common questions about Boostapp MCP in Vercel AI SDK

Connect to the Vinkius MCP endpoint, then pass the tools directly to your model call. Your agent will automatically extract phone numbers and names from the chat to run `create_lead`.

Yes, the server communicates over a lightweight HTTP transport. This means you can import it into your Next.js edge routes without hitting size limits or cold start penalties.

You can use the `authProvider` option when setting up your client. This lets you pass the correct token for each user session so they only modify their own sales pipelines.

The `create_lead` tool requires both a full name and a phone number. If one is missing, your agent will ask the user to clarify before executing the tool.

All submitted names, phone numbers, pipeline stages, and subscription details are processed inside an isolated V8 sandbox on Vinkius. No lead data is ever written to persistent logs, keeping your sales funnel secure and compliant.

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