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Mattermark MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Mattermark, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Mattermark MCP Server

Connect your Mattermark account to any AI agent and access deep insights into the startup ecosystem through natural conversation.

The Vercel AI SDK gives every Mattermark tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Company Research — Search for startups, fetch detailed metadata, and monitor funding history
  • Investor Intelligence — List venture firms and inspect their portfolios and profiles
  • Funding Rounds — Query specific investment rounds and their details
  • Competitive Analysis — Find similar companies and track employee growth trends

The Mattermark MCP Server exposes 10 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.

How to Connect Mattermark to Vercel AI SDK via MCP

Follow these steps to integrate the Mattermark MCP Server with Vercel AI SDK.

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 10 tools from Mattermark and passes them to the LLM

Why Use Vercel AI SDK with the Mattermark MCP Server

Vercel AI SDK provides unique advantages when paired with Mattermark 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 Mattermark integration everywhere

03

Built-in streaming UI primitives let you display Mattermark 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

Mattermark + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Mattermark MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Mattermark to Vercel AI SDK via MCP:

01

get_company_details

Get details for a specific company

02

get_company_employees

Get employee data for a company

03

get_company_funding_rounds

Get funding history for a company

04

get_company_news

Get news for a specific company

05

get_funding_round_details

Get details for a funding round

06

get_investor_details

Get details for an investor

07

list_investors

List venture capital investors

08

list_similar_companies

Find similar companies

09

search_companies

Search for companies

10

search_funding_rounds

Search for funding rounds

Example Prompts for Mattermark in Vercel AI SDK

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

01

"Search for companies in the 'Fintech' sector in New York."

02

"Get funding history for company ID 123."

03

"List similar companies to 'Stripe'."

Troubleshooting Mattermark MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Mattermark + Vercel AI SDK FAQ

Common questions about integrating Mattermark 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.

Connect Mattermark to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.