Skip to main content
Glama

FRED MCP Server

2
  • Apple

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

-
security - not tested
F
license - not found
-
quality - not tested

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.

  1. Overview
    1. Features
      1. Installation
        1. Prerequisites
        2. Install from Source
      2. Configuration
        1. Usage
          1. Running the Server
          2. Using with Claude for Desktop
        2. Available Tools
          1. Available Prompts
            1. FRED API Disclaimer
              1. License

                Related MCP Servers

                • A
                  security
                  F
                  license
                  A
                  quality
                  A Model Context Protocol server that provides tools to search and retrieve economic data series from the Federal Reserve Economic Data (FRED) API.
                  Last updated -
                  2
                  3
                  TypeScript
                • -
                  security
                  F
                  license
                  -
                  quality
                  A Model Context Protocol server that enables Claude Desktop to access and analyze Chinese and global financial market data through the AKShare library.
                  Last updated -
                  3
                  Python
                  • Linux
                  • Apple
                • A
                  security
                  A
                  license
                  A
                  quality
                  Provides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol, allowing AI assistants to retrieve economic time series data directly.
                  Last updated -
                  1
                  2
                  Python
                  MIT License
                  • Apple
                  • Linux
                • A
                  security
                  A
                  license
                  A
                  quality
                  A Model Context Protocol server providing tools for querying A-share stock market data, including historical prices, financial reports, market indices, and macroeconomic indicators.
                  Last updated -
                  28
                  178
                  Python
                  MIT License

                View all related MCP servers

                MCP directory API

                We provide all the information about MCP servers via our MCP API.

                curl -X GET 'https://glama.ai/api/mcp/v1/servers/milind-kulshrestha/fred_mcp_server'

                If you have feedback or need assistance with the MCP directory API, please join our Discord server