How to Use the FRED Series — U.S. Economic Time Series MCP in Vercel AI SDK

Stream U.S. economic data directly into your Next.js frontend with Vercel AI SDK.

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Connect FRED Series — U.S. Economic Time Series MCP to Vercel AI SDK

Create your Vinkius account to connect FRED Series — U.S. Economic Time Series 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 FRED Series — U.S. Economic Time Series with Vercel AI SDK

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Search 816,000+ Indicators

The `search_series` tool lets your agent find specific economic metrics by keyword across the entire FRED database. You pass a query like "unemployment rate" and get back matching IDs ordered by popularity. Once you have the ID, `get_series` pulls the exact metadata. Your Vercel AI SDK setup streams this directly to the user interface, meaning users watch the exact indicator details appear on screen without waiting for a full database roundtrip.

Pull Real-Time Economic Data

Using `get_observations`, your agent retrieves actual data values for any FRED time series. This tool handles date filtering, unit transformations like percent change, and frequency aggregation natively. You don't need to write custom math logic in your frontend. The MCP Server processes the log transformations before sending the payload, so your React charts render the exact figures immediately.

Vercel AI SDK MCP Server Vintages

The `get_vintage_dates` tool exposes historical revision dates for ALFRED-style analysis. Economic data changes after the initial release, and this shows you exactly when those numbers shifted. You can pair this with `get_series_updates` to monitor fresh data releases. If you build a financial dashboard, your agent knows exactly when macro indicators update and pushes the new data straight to the edge.

Setup guide

Set up FRED Series — U.S. Economic Time Series 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 FRED Series — U.S. Economic Time Series 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 FRED Series — U.S. Economic Time Series 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 FRED. 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 FRED Series — U.S. Economic Time Series MCP in Vercel AI SDK

Use createMCPClient with your HTTP transport URL. Call mcpClient.tools() and pass the resulting array to streamText.

Yes. The server handles unit transformations like percent changes and log scales natively. You get chart-ready numbers directly.

You can poll for new releases using the updates tool. It filters by macro or regional data depending on your focus.

Query the search tool with "inflation CPI" and order by popularity. It returns the exact series ID you need for the observations tool.

This MCP setup only touches public macroeconomic time series and indicator IDs. Vinkius runs the server in a V8 Isolate Sandbox, ensuring your polling requests and query parameters never leak across sessions. The environment dies immediately after your Vercel Edge Function finishes executing.

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