How to Use the FRED Tags & Sources — Data Discovery MCP in Vercel AI SDK

Stream FRED economic indicators directly into React UIs with the Vercel AI SDK.

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Connect FRED Tags & Sources — Data Discovery MCP to Vercel AI SDK

Create your Vinkius account to connect FRED Tags & Sources — Data Discovery 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 Tags & Sources — Data Discovery with Vercel AI SDK

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Tag-based economic discovery via Vercel AI SDK

The `search_tags` tool finds specific FRED tags like inflation, GDP, or regional identifiers right inside your application's execution thread. Your agent runs queries against the FRED taxonomy to locate exactly which datasets match your user's prompt. This means you bypass manual keyword matching entirely. The tool returns structured categories, letting your UI render live tag clouds or search suggestions as the user types.

Multi-tag intersections for precise filtering

The `get_series_by_tags` tool filters down hundreds of thousands of economic data series by intersecting multiple tag parameters. You supply tags like "usa" and "gdp" while excluding noise to isolate the exact dataset your application needs. Because this runs on edge functions, the filtered series metadata streams directly to the browser. Your users see specific economic datasets populate their charts without staring at a blank loading screen.

Map data origins across 107 official sources

The `list_sources` tool fetches the complete registry of official data providers, including the Bureau of Labor Statistics and the Census Bureau. Your client queries this list to verify where specific metrics originate before pulling them into your frontend. This gives your interface instant access to institutional metadata. You can build drop-down filters that let users isolate data from specific government agencies or central banks.

Setup guide

Set up FRED Tags & Sources — Data Discovery 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 Tags & Sources — Data Discovery 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 Tags & Sources — Data Discovery transactions",
});

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

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Common questions about FRED Tags & Sources — Data Discovery MCP in Vercel AI SDK

You initialize the connection using the Vercel AI SDK MCP client transport. Call the tools directly inside generateText or streamText to let your model fetch economic metadata on the fly.

Yes, the Vercel AI SDK handles streaming tool outputs natively. When the model invokes the tag discovery tools, the retrieved categories and series IDs stream directly to your UI components.

Your agent parses the user's natural language request into a semicolon-separated string of tags. It then passes this string to the tag filtering tool to extract the matching economic series.

Yes, the Vercel AI SDK client works inside Edge Functions. The connection to this MCP server runs over standard HTTP or SSE, making it highly compatible with lightweight edge environments.

This server only reads public economic metadata, tags, and source names from the St. Louis Fed. No private user data or sensitive financial records ever pass through this connection.

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