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jaldekoa/mcp-fredapi

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FRED (Federal Reserve Economic Data) API integration with Model Context Protocol (MCP)

概要

MCP-FREDAPI provides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol. This integration allows AI assistants like Claude to retrieve economic time series data directly when used with Cursor or other MCP-compatible environments. This package integrates with the official FRED API, focusing specifically on the series_observations endpoint which provides time series data for economic indicators. This method is recommended as it matches the configuration shown in mcp.json. 1. First, install uv if you don't have it yet: 3. Use uv to run the server (no need to install dependencies separately): You'll need a FRED API key, which you can obtain from FRED API. To configure Cursor to use this MCP server, add the following to your ~/.cursor/mcp.json file: Replace /path/to/mcp-fredapi with the actual path to the repository on your system. For example:

README

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MCP-FREDAPI

FRED (Federal Reserve Economic Data) API integration with Model Context Protocol (MCP)

Table of Contents

Introduction

MCP-FREDAPI provides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol. This integration allows AI assistants like Claude to retrieve economic time series data directly when used with Cursor or other MCP-compatible environments.

This package integrates with the official FRED API, focusing specifically on the series_observations endpoint which provides time series data for economic indicators.

Installation

There are two installation methods:

Method 1: Using pip

Install the required dependencies:

pip install "mcp[cli]" httpx python-dotenv

Clone this repository:

git clone https://github.com/Jaldekoa/mcp-fredapi.git
cd mcp-fredapi

This method is recommended as it matches the configuration shown in mcp.json.

  1. First, install uv if you don’t have it yet:
pip install uv
  1. Clone this repository:
git clone https://github.com/Jaldekoa/mcp-fredapi.git
cd mcp-fredapi
  1. Use uv to run the server (no need to install dependencies separately):
uv run --with mcp --with httpx mcp run server.py

Configuration

FRED API Key

You’ll need a FRED API key, which you can obtain from FRED API.

Create a .env file in the project root:

FRED_API_KEY=your_api_key_here

Claude/Cursor Configuration

To configure Cursor to use this MCP server, add the following to your ~/.cursor/mcp.json file:

{
  "mcpServers": {
    "mcp-fredapi": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-fredapi", "run", "--with", "mcp", "--with", "httpx", "mcp", "run", "server.py"]
    }
  }
}

Replace /path/to/mcp-fredapi with the actual path to the repository on your system. For example:

{
  "mcpServers": {
    "mcp-fredapi": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-fredapi", "run", "--with", "mcp", "--with", "httpx", "mcp", "run", "server.py"]
    }
  }
}

Note: On Windows, you can use either forward slashes / or double backslashes \\ in the path.

Available Tools

get_fred_series_observations

Retrieves economic time series observations from FRED.

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "mcp-fredapi": { "command": "uv", "args": ["--directory", "/path/to/mcp-fredapi", "run", "--with", "mcp", "--with", "httpx", "mcp", "run", "server.py"] } } }