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How to Use the DecileHub MCP in Vercel AI SDK

Stream live venture fund performance and LP data directly into your React frontends with the Vercel AI SDK and this MCP Server.

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…and any MCP-compatible client

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Vercel AI SDK

Connect DecileHub MCP to Vercel AI SDK

Create your Vinkius account to connect DecileHub 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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Stream LP details into Vercel AI SDK

`get_fund_performance` and `list_investors` pull private equity metrics straight into your Next.js application. Your users stop waiting on loading spinners because the data streams directly to the UI as the model fetches it. Building a limited partner portal means connecting these tools to your edge functions and watching the tables populate row by row. Connecting this MCP server requires almost zero boilerplate code. You pass the endpoint to `createMCPClient`, hand the tools to `streamText`, and the package handles the rest. This configuration gives your frontend immediate access to complex venture capital hierarchies.

Render portfolio valuations instantly

`list_valuations` and `list_portfolio_companies` extract specific company markups for your frontend components. We built this integration so your React application charts historical valuations without blocking the main thread. The agent reads the private market data and formats it for your charting libraries on the fly. Grabbing details for a specific startup happens through `get_company`. You tie this into a Vercel server action, and the user gets a live-updating dashboard showing exactly how their tech investments are performing this quarter.

Parse regulatory filings live

`list_filings` and `get_filing_report` feed dense compliance documents into your Vue or Svelte interfaces. Clients ask about a specific fund's regulatory status, and the text streams back in plain English. This turns a clunky PDF parsing job into a simple, fast chat interface. Vinkius manages the auth token so your edge environment stays secure. You just call `mcpClient.close()` when the stream finishes, keeping your serverless functions cheap and fast.

Setup guide

Set up DecileHub 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all DecileHub tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 DecileHub transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Decile Hub. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DecileHub MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient` with your Vinkius HTTP URL. Pass the resulting tool array directly into `streamText` to start pulling fund data.
Yes, the transport layer handles streaming responses natively. When the model calls the valuation tools, the frontend receives the pricing data chunk by chunk.
Vinkius handles the underlying server authentication. You just provide your single endpoint token in the HTTP transport configuration.
The SDK catches the error and you can render a fallback UI component. Your edge function won't crash just because an LP record is missing.
Your limited partner details and portfolio markups stay within the V8 Isolate Sandbox. Vinkius spins up the MCP Server ephemerally, processes the valuation request, and destroys the instance immediately after the stream closes.

Start using the DecileHub MCP today

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Built & Managed by Vinkius 30s setup 12 tools

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