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FRED Series — U.S. Economic Time Series MCP Server for Mastra AI 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect FRED Series — U.S. Economic Time Series through the 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-series-us-economic-time-series": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "FRED Series — U.S. Economic Time Series Agent",
    instructions:
      "You help users interact with FRED Series — U.S. Economic Time Series " +
      "using 5 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with FRED Series — U.S. Economic Time Series?"
  );
  console.log(result.text);
}

main();
FRED Series — U.S. Economic Time Series
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Series — U.S. Economic Time Series MCP Server

Connect your AI agent to the most powerful economic data engine in the world. FRED Series gives you direct access to the Federal Reserve's complete time series database.

Mastra's agent abstraction provides a clean separation between LLM logic and FRED Series — U.S. Economic Time Series tool infrastructure. Connect 5 tools through the 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

  • Search 816,000+ Series — Find any economic indicator by keyword. GDP, CPI, unemployment rate, federal funds rate, housing starts, and hundreds of thousands more
  • Retrieve Observations — Get actual date/value pairs with built-in unit transformations (percent change, log, year-over-year) and frequency aggregation (daily → monthly → quarterly → annual)
  • Series Metadata — Full details: title, units, frequency, seasonal adjustment, observation range, source, and notes
  • Recent Updates — Monitor which series were just updated — essential for tracking economic releases
  • Vintage Analysis — Access ALFRED-style historical revisions to understand how data was revised over time

Popular Series IDs

GDP · UNRATE · CPIAUCSL · FEDFUNDS · DGS10 · SP500 · M2SL · MORTGAGE30US · DEXUSEU · T10YIE

The FRED Series — U.S. Economic Time Series MCP Server exposes 5 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 Series — U.S. Economic Time Series to Mastra AI via MCP

Follow these steps to integrate the FRED Series — U.S. Economic Time Series 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 5 tools from FRED Series — U.S. Economic Time Series via MCP

Why Use Mastra AI with the FRED Series — U.S. Economic Time Series MCP Server

Mastra AI provides unique advantages when paired with FRED Series — U.S. Economic Time Series through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the FRED Series — U.S. Economic Time Series MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query FRED Series — U.S. Economic Time Series, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using FRED Series — U.S. Economic Time Series tools alongside other MCP servers

FRED Series — U.S. Economic Time Series MCP Tools for Mastra AI (5)

These 5 tools become available when you connect FRED Series — U.S. Economic Time Series to Mastra AI via MCP:

01

get_observations

Supports date filtering, unit transformations (percent change, log, etc.), and frequency aggregation. This is the primary tool for retrieving economic data. Get actual data values for a FRED time series

02

get_series

Use well-known IDs like GDP, UNRATE, CPIAUCSL, FEDFUNDS, DGS10, SP500, M2SL. Get metadata for a specific FRED series

03

get_series_updates

Useful for monitoring new data releases. Filter by macro (large/popular series) or regional. Get recently updated FRED series

04

get_vintage_dates

Essential for ALFRED-style vintage analysis and understanding data revisions. Get historical revision dates for a series

05

search_series

Returns matching series with title, frequency, units, popularity. Use order_by=popularity to find the most-used series. Examples: "GDP", "unemployment rate", "inflation CPI". Search 816,000+ economic time series by keyword

Example Prompts for FRED Series — U.S. Economic Time Series in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with FRED Series — U.S. Economic Time Series immediately.

01

"What is the current U.S. unemployment rate?"

02

"Show me U.S. GDP growth rate over the last 5 years"

03

"Compare the federal funds rate with 10-year Treasury yield"

Troubleshooting FRED Series — U.S. Economic Time Series MCP Server with Mastra AI

Common issues when connecting FRED Series — U.S. Economic Time Series to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

FRED Series — U.S. Economic Time Series + Mastra AI FAQ

Common questions about integrating FRED Series — U.S. Economic Time Series 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 Series — U.S. Economic Time Series to Mastra AI

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.