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Finnhub MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Finnhub 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 Finnhub, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Finnhub
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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 Finnhub MCP Server

Empower your AI agent to orchestrate your entire financial research and market auditing workflow with Finnhub, the comprehensive platform for real-time stock and crypto data. By connecting Finnhub to your agent, you transform complex market querying into a natural conversation. Your agent can instantly retrieve stock quotes, audit company profiles, and monitor market news without you ever touching a financial terminal. Whether you are conducting investment research or tracking crypto trends, your agent acts as a real-time financial analyst, ensuring your intelligence is always grounded in live market data.

The Vercel AI SDK gives every Finnhub tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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

  • Stock Auditing — Retrieve real-time price quotes for thousands of global stocks and maintain a clear view of market changes.
  • Company Oversight — Audit comprehensive company profiles and basic financial metrics to understand organizational health.
  • Market Intelligence — Search for stock and crypto symbols to identify relevant assets for your portfolio instantly.
  • News Discovery — Monitor latest market news across various categories, including general, forex, and crypto, to stay on top of trends.
  • Crypto Monitoring — List supported crypto symbols for dozens of exchanges to maintain strict control over digital asset data.

The Finnhub MCP Server exposes 6 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 Finnhub to Vercel AI SDK via MCP

Follow these steps to integrate the Finnhub 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 6 tools from Finnhub and passes them to the LLM

Why Use Vercel AI SDK with the Finnhub MCP Server

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

03

Built-in streaming UI primitives let you display Finnhub 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

Finnhub + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Finnhub MCP Tools for Vercel AI SDK (6)

These 6 tools become available when you connect Finnhub to Vercel AI SDK via MCP:

01

get_basic_financials

Get basic financial metrics for a company

02

get_company_profile

Get general information about a company by symbol

03

get_market_news

Get latest market news in a category

04

get_stock_quote

Get real-time quote data for a specific stock symbol

05

list_crypto_symbols

List supported crypto symbols for an exchange

06

search_symbols

Search for stock or crypto symbols by name

Example Prompts for Finnhub in Vercel AI SDK

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

01

"Get the current stock quote for 'AAPL' (Apple) using Finnhub."

02

"Show the latest news in the 'crypto' category."

03

"What are the basic financial metrics for 'MSFT' (Microsoft)?"

Troubleshooting Finnhub MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Finnhub + Vercel AI SDK FAQ

Common questions about integrating Finnhub 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 Finnhub to Vercel AI SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.