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FRED Categories — Economic Data Taxonomy MCP Server for Mastra AI 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FRED Categories — Economic Data Taxonomy through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "fred-categories-economic-data-taxonomy": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FRED Categories — Economic Data Taxonomy Agent",
    instructions:
      "You help users interact with FRED Categories — Economic Data Taxonomy " +
      "using 4 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with FRED Categories — Economic Data Taxonomy?"
  );
  console.log(result.text);
}

main();
FRED Categories — Economic Data Taxonomy
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About FRED Categories — Economic Data Taxonomy MCP Server

Explore FRED like a library. The Categories server lets your AI agent navigate the entire FRED taxonomy tree — from the root down to individual series.

Mastra's agent abstraction provides a clean separation between LLM logic and FRED Categories — Economic Data Taxonomy tool infrastructure. Connect 4 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Browse the Tree — Start from root (category 0) and drill into 8 top-level domains
  • Discover Series — Find all series within any category, sorted by popularity
  • Tag Filtering — Get tags for any category to understand available dimensions

Top-Level Categories

32991 Money, Banking & Finance · 10 Population & Employment · 32992 National Accounts · 1 Production & Business · 32455 Prices · 32263 International · 33060 Academic Data

The FRED Categories — Economic Data Taxonomy MCP Server exposes 4 tools through the Vinkius. Connect it to Mastra AI 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 Categories — Economic Data Taxonomy to Mastra AI via MCP

Follow these steps to integrate the FRED Categories — Economic Data Taxonomy MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 4 tools from FRED Categories — Economic Data Taxonomy via MCP

Why Use Mastra AI with the FRED Categories — Economic Data Taxonomy MCP Server

Mastra AI provides unique advantages when paired with FRED Categories — Economic Data Taxonomy through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add FRED Categories — Economic Data Taxonomy without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every FRED Categories — Economic Data Taxonomy tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

FRED Categories — Economic Data Taxonomy + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the FRED Categories — Economic Data Taxonomy MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query FRED Categories — Economic Data Taxonomy, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed FRED Categories — Economic Data Taxonomy as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query FRED Categories — Economic Data Taxonomy on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using FRED Categories — Economic Data Taxonomy tools alongside other MCP servers

FRED Categories — Economic Data Taxonomy MCP Tools for Mastra AI (4)

These 4 tools become available when you connect FRED Categories — Economic Data Taxonomy to Mastra AI via MCP:

01

get_category

Root category is 0. Major categories: 32991 (Money, Banking, & Finance), 10 (Population, Employment, & Labor Markets), 32992 (National Accounts), 1 (Production & Business Activity), 32455 (Prices). Get a FRED category by ID

02

get_category_children

Start from root (0) to explore all top-level categories, then drill down. This is the primary way to discover what data FRED has. Get child categories of a FRED category

03

get_category_series

Use with category IDs discovered via get_category_children. Supports filtering by frequency, units, and tags. Get series within a FRED category

04

get_category_tags

Useful for understanding what data dimensions are available and for filtering series. Get tags for a FRED category

Example Prompts for FRED Categories — Economic Data Taxonomy in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with FRED Categories — Economic Data Taxonomy immediately.

01

"What are the main categories of economic data in FRED?"

02

"What inflation-related series are available?"

03

"Navigate to the interest rates subcategory"

Troubleshooting FRED Categories — Economic Data Taxonomy MCP Server with Mastra AI

Common issues when connecting FRED Categories — Economic Data Taxonomy to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

FRED Categories — Economic Data Taxonomy + Mastra AI FAQ

Common questions about integrating FRED Categories — Economic Data Taxonomy MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect FRED Categories — Economic Data Taxonomy to Mastra AI

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.