AEGIS Hedging MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AEGIS Hedging through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 AEGIS Hedging, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 AEGIS Hedging MCP Server
Connect your AEGIS Hedging (Revenue Intelligence) account to your AI agent to orchestrate your energy risk management and trade lifecycle. From monitoring real-time Mark-to-Market (MTM) valuations to auditing trade entries and retrieving forward market curves, your agent handles complex energy data through natural conversation.
The Vercel AI SDK gives every AEGIS Hedging tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Trade Lifecycle Management — List and audit trades executed on the AEGIS Marketplace and monitor their status in your system
- Valuation & MTM — Retrieve current Mark-to-Market data and settlement estimates for your hedge positions
- Market Intelligence — Access energy forward curves, historical price data, and daily market insights
- Reporting & Compliance — Retrieve normalized data for revenue, taxes, and fees to support financial forecasting and SDR reporting
- Strategic Oversight — Quickly identify portfolio risks or hedging opportunities based on current market volatility
The AEGIS Hedging MCP Server exposes 4 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 AEGIS Hedging to Vercel AI SDK via MCP
Follow these steps to integrate the AEGIS Hedging MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from AEGIS Hedging and passes them to the LLM
Why Use Vercel AI SDK with the AEGIS Hedging MCP Server
Vercel AI SDK provides unique advantages when paired with AEGIS Hedging through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same AEGIS Hedging integration everywhere
Built-in streaming UI primitives let you display AEGIS Hedging tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
AEGIS Hedging + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AEGIS Hedging MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AEGIS Hedging in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AEGIS Hedging tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AEGIS Hedging capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AEGIS Hedging through natural language queries
AEGIS Hedging MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect AEGIS Hedging to Vercel AI SDK via MCP:
check_api_version
Check AEGIS API version
get_forward_curves
Retrieve energy forward curves
get_valuations
Get real-time MTM valuations
list_trades
List energy hedge trades
Example Prompts for AEGIS Hedging in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AEGIS Hedging immediately.
"List all energy trades executed in the last 30 days."
"Show me the current Mark-to-Market valuation for my natural gas portfolio."
"Retrieve the energy forward curves for the next 12 months."
Troubleshooting AEGIS Hedging MCP Server with Vercel AI SDK
Common issues when connecting AEGIS Hedging to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAEGIS Hedging + Vercel AI SDK FAQ
Common questions about integrating AEGIS Hedging MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect AEGIS Hedging with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AEGIS Hedging to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.