How to Use the AEGIS Hedging MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream AEGIS Hedging valuations to React?

Yes. The SDK executes the getvaluations tool server-side and streams the raw JSON data back to the client. You map that output directly to your UI components without waiting for the full text response.

Q: How do I check the API status before running queries?

Have your agent run checkapiversion first. This confirms connectivity before attempting heavier data pulls.

Build live energy risk dashboards with Vercel AI SDK. Stream market data directly to your React frontends without loading states.

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Connect AEGIS Hedging MCP to Vercel AI SDK

Create your Vinkius account to connect AEGIS Hedging 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 AEGIS Hedging with Vercel AI SDK

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Stream Energy Market Data via MCP Server

Connect your Next.js app directly to the AEGIS Hedging MCP Server. When a user asks about current oil prices, the AI fetches the data and streams it straight to the UI. Nobody waits for a loading spinner to finish. Call `get_forward_curves` to pull the latest energy forward curves. The Vercel AI SDK handles the tool execution on the server side and pipes the result into a React component instantly.

Render Live MTM Valuations

Energy markets move fast. If your users need to check their portfolio risk, they want numbers right now. You give them exactly that by wiring up server-side tool execution. Trigger `get_valuations` through streamText to get real-time mark-to-market data. You pipe those numbers straight into an interactive chart component while the LLM is still generating the summary text.

List Energy Hedge Trades in UI

Building a trade blotter usually means wiring up a dozen REST endpoints. Now you just give the AI the tools and let it figure out the parameters based on natural language input. The model uses `list_trades` to fetch specific energy hedge trades based on user prompts. After grabbing the records, it formats them into a clean Svelte or Vue table on the fly.

Setup guide

Set up AEGIS Hedging 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 AEGIS Hedging 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 AEGIS Hedging 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 AEGIS Hedging. 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 AEGIS Hedging MCP in Vercel AI SDK

Install the @ai-sdk/mcp package and set up an HTTP transport pointing to your Vinkius endpoint URL. Pass the resulting tools to streamText or generateText. Remember to call mcpClient.close() when the execution finishes.

Yes. The SDK executes the get_valuations tool server-side and streams the raw JSON data back to the client. You map that output directly to your UI components without waiting for the full text response.

It does. The Vinkius HTTP transport works perfectly in Edge environments. You avoid cold start delays while querying your trade data.

Have your agent run check_api_version first. This confirms connectivity before attempting heavier data pulls.

We run your server in an ephemeral V8 Isolate sandbox. When your code fetches energy hedge records, that data stays isolated in memory. Once the session ends, the sandbox dies, leaving zero trace of your portfolio details.

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