How to Use the DeckMatch MCP in Vercel AI SDK

Q: How do I connect DeckMatch to Vercel AI SDK?

Pass your Vinkius endpoint URL into createMCPClient using the HTTP transport. Call mcpClient.tools() and hand the array directly to your generateText or streamText function. Always run mcpClient.close() when the session ends.

Build live startup deal flow interfaces using the Vercel AI SDK to stream pitch deck analysis straight into your Next.js frontend.

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Connect DeckMatch MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Stream DeckMatch MCP Server Results

End users hate loading spinners. When a founder uploads a PDF, you want the extracted metrics hitting the screen instantly. Hooking up this MCP Server means your React components update the second `submit_pitch_deck` finishes processing the file. The agent pipes the output directly through `streamText`. You get live UI rendering for the `get_deck_analysis` payload while the model is still thinking about the founder's market size.

Live Investment Memo Generation

Building a dashboard for venture partners requires fast synthesis. Your Vercel AI SDK implementation can call `generate_investment_memo` and stream the drafted paragraphs right into a text editor component. Partners watch the thesis write itself. They see the exact data pulled from `list_enrichment_sources` appearing in real-time, letting them start editing before the agent even finishes the conclusion.

Semantic Startup Search in React

Finding comparables usually means digging through database tabs. Now your frontend can trigger `search_startups_semantically` from a single search bar and stream the matches into a grid layout. The client pulls the matching profiles and renders them immediately. Developers can combine this with `get_submission_details` to show side-by-side metrics between the new deal and past investments without blocking the main thread.

Setup guide

Set up DeckMatch 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 DeckMatch 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 DeckMatch 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 DeckMatch. 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 DeckMatch MCP in Vercel AI SDK

Pass your Vinkius endpoint URL into `createMCPClient` using the HTTP transport. Call `mcpClient.tools()` and hand the array directly to your `generateText` or `streamText` function. Always run `mcpClient.close()` when the session ends.

Yes, the integration handles streaming out of the box. As the agent runs `get_deck_analysis`, the parsed startup metrics flow directly into your React or Svelte UI components.

The SDK throws an error you can catch in your edge function. You should wrap the tool execution in a try-catch block and render a fallback state for your end user.

Vinkius handles the underlying authentication for the MCP connection. You just pass your single endpoint token, though you can still use the SDK's `authProvider` for your own user sessions.

Confidential startup financials and unannounced product roadmaps stay isolated in a V8 sandbox. Vinkius spins up an ephemeral environment just for your query and destroys it immediately, leaving zero persistent footprint.

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