How to Use the MACD & RSI Oscillator Engine MCP in Vercel AI SDK

Q: Can I use this to build a real-time stock chart?

Yes. You can feed a price array to calculatemacdrsi and the Vercel AI SDK will stream the oscillator values back. This lets you update your chart components live as the data arrives.

Calculate MACD and RSI inside your Vercel AI SDK app and stream the results directly into your React UI. No more loading spinners.

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Connect MACD & RSI Oscillator Engine MCP to Vercel AI SDK

Create your Vinkius account to connect MACD & RSI Oscillator Engine 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 MACD & RSI Oscillator Engine with Vercel AI SDK

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Feed Live Charts, Not Spinners

Use the `calculate_macd_rsi` tool to compute indicator values on the server. Your Vercel AI SDK app then streams the results—MACD line, signal line, histogram, and RSI—directly into your UI components. Your users watch the chart data appear in real time. It's a fundamentally better experience than making them wait for a full data payload to load. You can build live dashboards that feel responsive and immediate.

Server-Side Math, Client-Side Speed

Offload the indicator calculations to a dedicated MCP Server. This keeps your frontend bundle small and your UI thread free to handle user interaction, not number crunching. Your agent sends a raw price array, gets back structured indicator data. This is the right way to build data-heavy frontends. It's faster for the user and simpler for you to maintain.

Build with the Vercel AI SDK

This MCP tool integrates directly with the `generateText` and `streamText` functions you already use. Just pass the tool definition from the MCP client into your AI call. When your agent needs to analyze price data, it invokes the tool automatically. The Vercel AI SDK handles the state management, streaming the indicator data right where you need it in your application.

Setup guide

Set up MACD & RSI Oscillator Engine 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 MACD & RSI Oscillator Engine 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 MACD & RSI Oscillator Engine transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about MACD & RSI Oscillator Engine MCP in Vercel AI SDK

Install the Vercel AI SDK and the MCP package, then point the MCP client to the server URL we provide. The `calculate_macd_rsi` tool will be available in your `mcpClient.tools()` call. Pass that to `streamText`.

Yes. You can feed a price array to `calculate_macd_rsi` and the Vercel AI SDK will stream the oscillator values back. This lets you update your chart components live as the data arrives.

You can specify all standard parameters. For MACD, that's the fast period, slow period, and signal period. For RSI, you can set the window length.

The server is designed for typical analysis workloads, handling thousands of data points easily. The main limit is the request payload size of the underlying Vercel Edge Function, which is generous.

This server only processes the time-series price arrays you send it. All calculations happen in an ephemeral, sandboxed environment that's wiped clean after your request. We don't see your data, and it's never written to disk.

Use it with your favorite AI tools

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

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