How to Use the EODHD Financial MCP in Vercel AI SDK

Q: How do I connect EODHD Financial to the Vercel AI SDK using MCP?

Install the @ai-sdk/mcp package and create an MCP client pointing to your Vinkius endpoint URL. Pass the tools directly into the tools parameter of streamText or generateText.

Q: Can I query multiple stock prices at once using EODHD Financial with the Vercel AI SDK?

Yes, you use the getmultiprice tool by passing a comma-separated list of symbols. This returns real-time prices for all requested tickers in a single call, which your streaming UI displays immediately.

Feed real-time stock prices and fundamental data directly into your Next.js UI components with the Vercel AI SDK.

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Connect EODHD Financial MCP to Vercel AI SDK

Create your Vinkius account to connect EODHD Financial 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 EODHD Financial with Vercel AI SDK

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Live ticker streaming to React components

`get_realtime_price` fetches current market data for your UI without loading spinners. You feed this tool directly into your streaming text loops. The raw numbers show up in the client interface as soon as the API responds. This avoids the typical lag of traditional API polling. Your interface stays updated because the tool returns the current price, high, low, and volume in a single execution step.

Instant UI tables from multi-ticker queries

`get_multi_price` pulls data for several stocks at once to build comparison tables in your Vercel AI SDK application using this MCP. Your agent requests the exact list of ticker symbols and formats the response directly into your frontend layout. You don't need to write custom parsing code for each ticker. The JSON output maps directly to your UI components, keeping your Edge Functions fast and lightweight.

Direct fundamental analysis with this MCP Server

`get_fundamentals` retrieves balance sheet metrics, valuation highlights, and general company information for your user-facing dashboard. The Vercel AI SDK handles the tool call execution, pulling deep company data directly into your conversational UI. You filter specific sections like valuation or highlights to keep the payload small. This selective fetching keeps your serverless execution costs low while providing deep financial context.

Setup guide

Set up EODHD Financial 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 EODHD Financial 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 EODHD Financial 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 EODHD Financial Data. 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 EODHD Financial MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and create an MCP client pointing to your Vinkius endpoint URL. Pass the tools directly into the tools parameter of streamText or generateText.

Yes, you use the `get_multi_price` tool by passing a comma-separated list of symbols. This returns real-time prices for all requested tickers in a single call, which your streaming UI displays immediately.

You should manage rate limits within your Next.js API routes or Edge Functions by caching frequent queries. Vinkius executes the calls, but your application code must handle potential rate limit errors gracefully.

You must use the TICKER.EXCHANGE format, like AAPL.US or BMW.XETRA. If your agent does not know the exchange, it can run `search_tickers` first to find the correct format.

Yes, Vinkius runs the MCP Server in an isolated, zero-trust V8 sandbox. Your API keys and queried ticker symbols are processed ephemerally and never stored on the host network.

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