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DeckMatch MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Delete Submission, Generate Investment Memo, Get Api Status, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DeckMatch through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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Ask AI about this App Connector for Vercel AI SDK

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The DeckMatch app connector for Vercel AI SDK is a standout in the Artificial Intelligence category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using DeckMatch, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
DeckMatch
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DeckMatch MCP Server

Connect your DeckMatch (now AlphaLens) account to any AI agent and take full control of your venture capital deal flow and startup analysis workflows through natural conversation.

The Vercel AI SDK gives every DeckMatch tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Deck Orchestration — Submit pitch deck URLs (PDF, PPTX, DocSend) programmatically to trigger automated data extraction and high-fidelity analysis
  • Investment Intelligence — Programmatically generate professional investment memos and retrieve AI-driven triage results, including problem/solution and business models
  • Semantic Discovery — Use the AlphaLens search engine to find startups matching specific strategic criteria and identify market signals directly through your agent
  • Portfolio Monitoring — Access your complete directory of analyzed decks and monitor triage statuses to maintain perfectly coordinated deal flow pipelines
  • Operational Monitoring — Check API health status, retrieve audit logs, and manage organization tags to maintain high-fidelity records of your investment activity

The DeckMatch MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 DeckMatch tools available for Vercel AI SDK

When Vercel AI SDK connects to DeckMatch through Vinkius, your AI agent gets direct access to every tool listed below — spanning pitch-deck-analysis, investment-triage, deal-flow, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

delete_submission

Remove pitch deck

generate_investment_memo

Create investment memo

get_api_status

Get connectivity info

get_deck_analysis

Get AI triage results

get_submission_audit

Get audit trail

get_submission_details

Get full submission info

list_enrichment_sources

Get data sources

list_submission_tags

List available tags

list_submissions

List all analyzed decks

search_startups_semantically

Find similar startups

submit_pitch_deck

Submit a deck for AI analysis

tag_submission

Label a submission

Connect DeckMatch to Vercel AI SDK via MCP

Follow these steps to wire DeckMatch into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from DeckMatch and passes them to the LLM

Why Use Vercel AI SDK with the DeckMatch MCP Server

Vercel AI SDK provides unique advantages when paired with DeckMatch through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DeckMatch integration everywhere

03

Built-in streaming UI primitives let you display DeckMatch tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

DeckMatch + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the DeckMatch MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query DeckMatch in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate DeckMatch tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed DeckMatch capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with DeckMatch through natural language queries

Example Prompts for DeckMatch in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DeckMatch immediately.

01

"Analyze this pitch deck: 'https://docsend.com/view/example-deck'."

02

"Find startups similar to 'Stripe' focusing on 'climate tech payments'."

03

"Generate an investment memo for submission 'sub_123'."

Troubleshooting DeckMatch MCP Server with Vercel AI SDK

Common issues when connecting DeckMatch to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

DeckMatch + Vercel AI SDK FAQ

Common questions about integrating DeckMatch MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.