How to Use the Intrinio MCP in Vercel AI SDK

Stream real-time financial data directly into your UI with the Vercel AI SDK and the Intrinio MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Intrinio MCP to Vercel AI SDK

Create your Vinkius account to connect Intrinio 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.

GDPR Free for Subscribers

Setup Intrinio with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time financial data streaming

Feed live market metrics straight into your frontend components. Use `get_stock_prices` to pull historical trends that render instantly as the AI processes the request. Your users won't stare at loading spinners anymore. The MCP Server transmits data chunks that your UI handles immediately, keeping your dashboard responsive during high-volatility sessions.

Fundamental analysis for your Vercel AI SDK app

Automate your research workflow by querying structured data. Call `get_financials` to extract specific line items and `get_company` to grab business profiles without manual lookups. This setup bridges raw API responses and your React or Next.js components. You get typed data structures that fit right into your state management layer.

Market discovery tools

Identify new investment targets by scanning the market. Use `list_indices` and `get_ipo_calendar` to keep your application's data current and relevant for your users. `search_companies` helps you map user input to the correct identifiers. It’s the fastest way to turn a vague company name into actionable financial data.

Setup guide

Set up Intrinio 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 Intrinio 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 Intrinio 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 Intrinio. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Intrinio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about Intrinio MCP in Vercel AI SDK

Install the MCP client packages and initialize the connection using the provided HTTP transport URL. You then pass the tools directly into your generateText or streamText calls to start fetching data.

The server doesn't throttle requests locally, so your implementation must handle rate limits. Monitor your API usage to avoid hitting Intrinio caps during high-traffic periods in your Vercel AI SDK app.

Yes, it pulls directly from the primary source. You get the same data quality used by professional quants, provided you handle the serialization correctly in your client-side code.

Yes, you can pass your credentials through the authProvider configuration. This keeps your keys secure while your client communicates with the server.

The connection uses encrypted HTTP transport. Only the financial data you specifically request—such as stock prices or earnings reports—is passed between the API and your interface.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript