Skip to main content

FRED Macroeconomic Data MCP Server - Access to Federal Reserve Economic Data

Project description

FRED Macroeconomic Data MCP Server

A Model Context Protocol (MCP) server that provides access to Federal Reserve Economic Data (FRED) through Claude and other LLM clients. This server exposes FRED economic data series, search capabilities, and data retrieval tools.

Features

  • Access to common FRED economic indicators (GDP, Employment, Inflation, etc.)
  • Search functionality for FRED data series
  • Real-time data fetching from FRED API
  • Standardized data format for LLM consumption
  • Built using the MCP Python SDK for seamless integration

Prerequisites

  • Python 3.11 or higher
  • uv - Modern Python package installer
  • Claude Desktop for local usage
  • FRED API Key (get one from FRED API)

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/WM_mcp.git
cd WM_mcp
  1. Create and activate a virtual environment using uv:
uv venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
  1. Install dependencies using uv:
uv pip install "mcp[cli]>=1.6.0" "colorama>=0.4.6" "numpy>=2.2.4" "pandas>=2.2.3" "python-dotenv>=1.1.0" "requests>=2.32.3"
  1. Set up environment variables:
cp .env.example .env

Edit .env and add your FRED API key:

FRED_API_KEY=your_fred_api_key_here

Installing in Claude Desktop

  1. Make sure Claude Desktop is installed and running
  2. Open Claude Desktop settings:
    • Go to Settings > Developer > Edit Config
    • Add the following configuration to your claude_desktop_config.json:
{
  "mcpServers": {
    "FRED Macroeconomic Data Server": {
      "command": "/path/to/your/.local/bin/uv",
      "args": [
        "--directory",
        "/path/to/your/WM_mcp",
        "run",
        "fred_macroeco_server.py"
      ]
    }
  }
}

Replace /path/to/your/ with your actual paths. You can find uv's path by running which uv in terminal.

Usage in Claude

  1. First, search online for "using MCP resource in Claude Desktop Client" to understand how to include MCP resources in your conversations.

  2. Once you've added the resource, you can interact with FRED data. Example prompt:

Use FRED APIs to get GDPs of USA last 20 years, draw chart

Available Resources

  • file://series/available - List all available FRED series and their details

Available Tools

  • fetch_series_data - Fetch data for any FRED series
  • search_series - Search for FRED series by description

Development

For development and testing:

  1. Run the MCP Inspector to test the server:
mcp dev fred_macroeco_server.py

This allows you to inspect resources, test tools, and verify server functionality.

  1. For direct server execution (to check for issues):
python fred_macroeco_server.py

Note: The server uses stdio transport for communication with Claude Desktop. Use the MCP Inspector during development to catch and fix any issues before deploying to Claude Desktop.

Troubleshooting

  1. If you get API key errors:

    • Verify your FRED API key is correctly set in .env
    • Check that the .env file is in the correct directory
  2. If the server doesn't appear in Claude Desktop:

    • Double-check your claude_desktop_config.json paths
    • Ensure uv and all dependencies are installed correctly
    • Try restarting Claude Desktop

Acknowledgments

  • Federal Reserve Bank of St. Louis for providing the FRED API
  • Model Context Protocol team for the MCP SDK
  • Anthropic for Claude and the Claude Desktop client

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iflow_mcp_hungson175_wm_mcp-0.1.0.tar.gz (6.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iflow_mcp_hungson175_wm_mcp-0.1.0-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file iflow_mcp_hungson175_wm_mcp-0.1.0.tar.gz.

File metadata

  • Download URL: iflow_mcp_hungson175_wm_mcp-0.1.0.tar.gz
  • Upload date:
  • Size: 6.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_hungson175_wm_mcp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 03a043de83035c2d892ae5f9f07b6d1ae2e06e2c9308813b32f0831c794ac27d
MD5 ce091e0f5167aba53ef036ddd0f58744
BLAKE2b-256 e84c39c22e144b31004d2b851f2116ddd5e4b37f8f7ee154403e6a04e7084132

See more details on using hashes here.

File details

Details for the file iflow_mcp_hungson175_wm_mcp-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: iflow_mcp_hungson175_wm_mcp-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.2 {"installer":{"name":"uv","version":"0.10.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for iflow_mcp_hungson175_wm_mcp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6867d6133bf7c7ceefd6e4de2bb2171215fbc0e6053ca9a3f0c4bc29eb8983c4
MD5 414dc349539ae3a53a6b47611a24654e
BLAKE2b-256 688febd4ad3ffd7c3b9d3c9a922063ec9515b18a8645e1527297cb4784fa327f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page