MCP Recipe for Macro Portfolio Correlation.
Fed rates tracked, sector performance pulled, macro-to-market correlation built , invest with the economic cycle, not against it
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
Here is what the data shows: your AI agent pulls key FRED series , the Federal Funds Rate (FEDFUNDS), Consumer Price Index (CPIAUCSL), unemployment rate (UNRATE), 10-Year Treasury yield (DGS10), and GDP growth (A191RL1Q225SBEA).
It builds a snapshot: Fed rate at 4.75%, CPI at 3.1% year-over-year, unemployment at 3.8%, 10Y yield at 4.2%, GDP growth at 2.3%.
Then it pulls Alpha Vantage sector performance: tech +18% YTD, utilities +3%, energy -2%, financials +12%, healthcare +7%, real estate +1%.
The agent builds the correlation view: historically, when the Fed cuts rates (which the market expects in Q3), rate-sensitive sectors like utilities (+8% avg in first 6 months after cut), real estate (+11%), and consumer discretionary (+9%) outperform.
Meanwhile, your portfolio is 60% tech and 5% utilities. The agent flags the mismatch: 'If rate cuts materialize, your portfolio is underweight in the sectors that historically benefit most.' You get the data, the historical pattern, and the portfolio impact in one spreadsheet.
No macroeconomics degree required.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect FRED, Alpha Vantage and Google Sheets MCP servers so your AI agent reads US economic data from the Federal Reserve (interest rates, inflation, unemployment, GDP growth), pulls sector and stock performance from Alpha Vantage, and builds a macro-market correlation dashboard in Google Sheets. Independent investors who read headlines about rate cuts but cannot quantify how that affects their portfolio get a system that connects the macro story to the market math. When the Fed moves, your spreadsheet shows which sectors historically benefit and which your portfolio holds.
Fred Series Us Economic Time Series
triggerReads Federal Reserve economic data , rates, inflation, GDP, unemployment
get_observations get_series search_series get_series_updates Alpha Vantage
actionPulls sector performance, stock prices and earnings data
get_sector_performance get_quote get_daily_time_series get_company_overview Google Sheets
actionBuilds macro-market correlation dashboard
append_sheet_values update_sheet_values get_spreadsheet create_spreadsheet Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Fred Series Us Economic Time Series, Alpha Vantage & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
Independent investors who want to understand how Federal Reserve rate decisions affect their stock portfolio without an economics background
Sector rotation investors who reallocate between cyclical and defensive sectors based on the economic cycle and want automated macro tracking
Retirement savers who need to measure real (inflation-adjusted) portfolio returns to ensure their savings maintain purchasing power
Macro-aware investors who monitor the yield curve, unemployment trends, and GDP growth as inputs to their asset allocation decisions
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: FRED (US Economic Time Series), Alpha Vantage and Google Sheets. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
What is FRED?
FRED is the Federal Reserve Economic Data service, run by the Federal Reserve Bank of St. Louis. It holds 800,000+ economic time series , interest rates, inflation, unemployment, GDP, and more. The data is public and free. The MCP reads it directly.
Is this financial advice?
No. This is economic data aggregation and historical pattern analysis. The correlations shown are based on historical data and may not predict future performance. Consult a financial advisor for investment decisions.
How often should I run this?
FRED data updates on different schedules , the Fed rate changes 8 times per year, CPI monthly, GDP quarterly, unemployment monthly. A monthly run captures most macro changes. Run weekly if you are actively rotating sectors.
Does this work for European investors?
FRED data is US-focused. European investors who hold US stocks or ETFs benefit directly. For ECB rate data or European economic indicators, a separate data source would be needed , but sector performance from Alpha Vantage applies globally for US-listed securities.
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MCP servers used in this workflow
FRED Series — U.S. Economic Time Series
FRED Series — U.S. Economic Time Series provides direct access to the Federal Reserve's database of 816,000+ economic indicators. Use this server to search, retrieve, and transform official data points like GDP, inflation (CPIAUCSL), and unemployment rates (UNRATE). It handles complex tasks like year-over-year calculations, unit transformations (log, percent change), and historical vintage analysis for financial modeling.
Alpha Vantage
Alpha Vantage connects any AI client to global financial markets. It gives you real-time quotes, historical OHLCV data (daily through intraday), technical indicators like RSI/MACD, corporate fundamentals, and crypto/forex rates—all from a single conversation.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.