How to Use the PreciseFP MCP in Vercel AI SDK

Q: How do I connect the PreciseFP MCP Server to Vercel AI SDK?

Use createMCPClient with the HTTP transport option. Pass the endpoint URL, get the tools via mcpClient.tools(), and feed them into streamText.

Q: Can Vercel AI SDK poll PreciseFP for completed form engagements?

Yes. You can set up a loop calling listformengagements to check status. The framework will push updates to your frontend whenever a client finishes their paperwork.

Build live client intake flows in React and Next.js using the PreciseFP MCP Server and Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect PreciseFP MCP to Vercel AI SDK

Create your Vinkius account to connect PreciseFP to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PreciseFP with Vercel AI SDK

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Vercel AI SDK streams PreciseFP data

This MCP Server connects your Next.js frontend directly to PreciseFP. You call `list_form_templates` or `list_pdf_templates` and the AI client starts pushing available onboarding documents to the browser instantly. No loading spinners. Users see the form options appear in real-time. When an advisor selects a template, your Vercel AI SDK implementation triggers `create_form_engagement`. The response streams back into your UI, confirming the client received the document. It keeps the intake process moving without forcing the advisor to refresh the page.

Render account activity live in the UI

Wealth management dashboards need fast data retrieval. Using `get_account` and `get_person`, your React components can pull specific client profiles on demand. The connection feeds the JSON directly into your streaming text components. You can also track exactly what clients are doing. Execute `get_account_activity` to pull recent interactions and render a live timeline for the advisor. The SDK handles the async nature of the request while your frontend stays completely responsive.

Add co-clients via MCP Server tools

Onboarding rarely stops at a single individual. Your application can prompt an advisor for spouse or beneficiary details, then instantly fire `create_person` to add them to the existing PreciseFP record. You verify the addition by calling `list_persons` right after. Because the framework streams the output, the newly added family member pops up on the advisor's screen the second the API confirms the write operation.

Setup guide

Set up PreciseFP 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 PreciseFP 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 PreciseFP 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 PreciseFP. 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

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Common questions about PreciseFP MCP in Vercel AI SDK

Use `createMCPClient` with the HTTP transport option. Pass the endpoint URL, get the tools via `mcpClient.tools()`, and feed them into `streamText`.

Yes. You can set up a loop calling `list_form_engagements` to check status. The framework will push updates to your frontend whenever a client finishes their paperwork.

It works perfectly. The protocol uses standard HTTP transports, meaning you can trigger `get_form_engagement` right from the edge without cold start delays.

Vinkius manages the underlying OAuth and API keys. You just pass your single endpoint token through the `authProvider` when initializing the client.

Yes. When your frontend requests sensitive KYC details or beneficiary names via `get_person`, the data travels through an ephemeral V8 isolate sandbox. Nothing touches disk, and the connection drops immediately after the payload delivers.

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