FRED Series — U.S. Economic Time Series MCP Server for Mastra AI 5 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
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.
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
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every FRED Series — U.S. Economic Time Series tool response with IDE autocomplete and compile-time checks
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.
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
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
Background jobs: schedule Mastra agents to query FRED Series — U.S. Economic Time Series on a cron and store results in your database automatically
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:
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
get_series
Use well-known IDs like GDP, UNRATE, CPIAUCSL, FEDFUNDS, DGS10, SP500, M2SL. Get metadata for a specific FRED series
get_series_updates
Useful for monitoring new data releases. Filter by macro (large/popular series) or regional. Get recently updated FRED series
get_vintage_dates
Essential for ALFRED-style vintage analysis and understanding data revisions. Get historical revision dates for a series
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.
"What is the current U.S. unemployment rate?"
"Show me U.S. GDP growth rate over the last 5 years"
"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.
createMCPClient not exported
npm install @mastra/mcpFRED 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.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect FRED Series — U.S. Economic Time Series with your favorite client
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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 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.
