FRED Tags & Sources — Data Discovery MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FRED Tags & Sources — Data Discovery through the 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 FRED Tags & Sources — Data Discovery, 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 FRED Tags & Sources — Data Discovery MCP Server
The discovery layer for FRED. Tags & Sources helps your AI agent find exactly the right series by filtering through FRED's comprehensive tagging system.
The Vercel AI SDK gives every FRED Tags & Sources — Data Discovery tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through the 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
- Search Tags — Browse geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) tags
- Tag Combinations — Find series matching ALL specified tags (e.g., usa + gdp + quarterly) while excluding others
- Data Sources — List all 107 organizations contributing data: BLS, BEA, Federal Reserve Board, Census Bureau, Treasury, IMF, and more
The FRED Tags & Sources — Data Discovery MCP Server exposes 3 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 FRED Tags & Sources — Data Discovery to Vercel AI SDK via MCP
Follow these steps to integrate the FRED Tags & Sources — Data Discovery 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 3 tools from FRED Tags & Sources — Data Discovery and passes them to the LLM
Why Use Vercel AI SDK with the FRED Tags & Sources — Data Discovery MCP Server
Vercel AI SDK provides unique advantages when paired with FRED Tags & Sources — Data Discovery 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 FRED Tags & Sources — Data Discovery integration everywhere
Built-in streaming UI primitives let you display FRED Tags & Sources — Data Discovery 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
FRED Tags & Sources — Data Discovery + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FRED Tags & Sources — Data Discovery MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FRED Tags & Sources — Data Discovery in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FRED Tags & Sources — Data Discovery tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FRED Tags & Sources — Data Discovery capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FRED Tags & Sources — Data Discovery through natural language queries
FRED Tags & Sources — Data Discovery MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect FRED Tags & Sources — Data Discovery to Vercel AI SDK via MCP:
get_series_by_tags
Powerful for discovering related series. Example: tag_names="usa;gdp" returns all US GDP series. Combine with exclude_tag_names to refine. Get FRED series matching specific tags
list_sources
List all FRED data sources
search_tags
Search by text or get all tags. Tags include geographic (usa, europe), topic (gdp, inflation), source (bls, bea), and frequency (monthly, quarterly) labels. Search or browse FRED tags
Example Prompts for FRED Tags & Sources — Data Discovery in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FRED Tags & Sources — Data Discovery immediately.
"Find all monthly U.S. GDP-related series"
"List all data sources that contribute to FRED"
"What tags are most popular on FRED?"
Troubleshooting FRED Tags & Sources — Data Discovery MCP Server with Vercel AI SDK
Common issues when connecting FRED Tags & Sources — Data Discovery to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFRED Tags & Sources — Data Discovery + Vercel AI SDK FAQ
Common questions about integrating FRED Tags & Sources — Data Discovery 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 FRED Tags & Sources — Data Discovery 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 FRED Tags & Sources — Data Discovery to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.