FRED MCP Server

FRED MCP Server

A Model Context Protocol server that provides access to Federal Reserve Economic Data (FRED), enabling users to retrieve, analyze, and compare economic indicators and time series data through natural language.

Category
Visit Server

README

FRED MCP Server

https://github.com/user-attachments/assets/059030bf-141b-4399-99aa-a2cd51abdf05

A Model Context Protocol (MCP) server for accessing and analyzing Federal Reserve Economic Data (FRED).

Overview

This server provides access to Federal Reserve Economic Data (FRED) using the FRED API through the Model Context Protocol.

Features

  • Economic Data Access: Retrieve economic indicators and time series data from FRED
  • Trend Analysis: Analyze economic trends over time
  • Comparative Analysis: Compare multiple economic indicators
  • Metadata Access: Get information about available economic series
  • Prompt Templates: Use pre-defined prompt templates for common economic analysis tasks

Installation

Prerequisites

  • Python 3.10 or higher
  • A FRED API key (for the backend service)

Install from Source

# Clone the repository
git clone https://github.com/yourusername/fred-mcp-server.git
cd fred-mcp-server

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install the package
# Install with pip
pip install .

# Install with UV (recommended for exact dependency versions)
uv pip install .

Configuration

The server can be configured using environment variables:

  • FRED_API_KEY: Your FRED API key (required)
  • LOG_LEVEL: Logging level (default: "INFO")
  • LOG_FILE: Log file path (default: "fred_mcp_server.log")

Usage

Running the Server

# Run directly
python -m fred_mcp_server

# Or using the installed script
fred-mcp

Using with Claude for Desktop

To use with Claude for Desktop, add this server to your Claude configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "fred": {
      "command": "uv",
      "args": [
        "run",
        "-m",
        "fred_mcp_server"
      ],
      "cwd": "<PATH_TO_FRED_MCP_SERVER>/src",
      "env": {
        "FRED_API_KEY": "your_fred_api_key_here"
      }
    }
  }
}

Notes:

  • Replace <PATH_TO_FRED_MCP_SERVER> with the absolute path to your fred directory
  • You can use "command": "uv" with "args": ["run", "-m", "fred_mcp_server"] if using the uv package manager

Note: Replace your_fred_api_key_here with your actual FRED API key. You can obtain a free API key by registering at https://fred.stlouisfed.org/docs/api/api_key.html

Available Tools

All tools use a consistent fred_ prefix for clear namespace management:

  • search_fred_series: Search for economic data series by keywords or category
  • fred_get_series_data: Retrieve time series data for a specific economic indicator
  • fred_get_series_metadata: Get detailed metadata about a specific economic data series
  • fred_get_category_series: List series in a specific FRED category
  • fred_get_releases: Get economic data releases from FRED
  • fred_compare_series: Compare multiple economic indicators over a specified time period
  • fred_calculate_statistics: Calculate basic statistics for a FRED series
  • fred_detect_trends: Identify trends in FRED economic data
  • analyze_economic_trends: Analyze trends in economic indicators over time

Available Prompts

  • economic-data-search: How to effectively search for economic indicators
  • data-visualization-guide: How to create and interpret economic data visualizations
  • trend-analysis-guide: How to analyze trends in economic indicators
  • comparative-analysis: How to perform comparative analysis of economic indicators
  • latest-data-analysis: How to analyze the latest economic indicators

FRED API Disclaimer

This product uses the FRED® API but is not endorsed or certified by the Federal Reserve Bank of St. Louis. By using this product, you agree to comply with the FRED® API Terms of Use.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured