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Fred

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Enables users to search, retrieve, and explore economic data series from the Federal Reserve Economic Data (FRED) API using natural language.

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About

Enables users to search, retrieve, and explore economic data series from the Federal Reserve Economic Data (FRED) API using natural language.

README

An MCP server for the Federal Reserve Economic Data (FRED) API.

Features

  • Search for economic data series.
  • Retrieve data points for series.
  • Explore Categories, Releases, Sources, and Tags.
  • Pagination support for large datasets.
  • Option to save data as JSON files.

Configuration

Set the FRED_API_KEY environment variable to your FRED API key.

Usage

Run with uvx (if published):

uvx fred-data-mcp

Installation from PyPI

Once published, you can install and run directly:

pip install fred-data-mcp
# or
uvx fred-data-mcp

Claude Desktop Configuration

To use this server with the Claude Desktop app, add the following to your claude_desktop_config.json:

Published Package (Recommended)

If you have published the package to PyPI, you can key off the package name directly:

{
  "mcpServers": {
    "fred": {
      "command": "uvx",
      "args": [
        "fred-data-mcp"
      ],
      "env": {
        "FRED_API_KEY": "your_api_key_here"
      }
    }
  }
}

Local Development

If you are running from the source code repository:

{
  "mcpServers": {
    "fred": {
      "command": "uvx",
      "args": [
        "--from",
        "/absolute/path/to/fred-mcp",
        "fred-data-mcp"
      ],
      "env": {
        "FRED_API_KEY": "your_api_key_here"
      }
    }
  }
}

Development

Running the MCP Inspector

To test the server locally with the MCP Inspector:

Windows (PowerShell):

$env:FRED_API_KEY = "your_api_key_here"
.\run-inspector.ps1

Bash:

export FRED_API_KEY="your_api_key_here"
./run-inspector.sh

Alternatively, run the command directly:

npx @modelcontextprotocol/inspector uv run fred-data-mcp

## Publication

### Publishing to PyPI
A helper script `publish.ps1` is provided to automate version bumping and publication.

**Requirements:**
- `uv` installed.
- PyPI credentials configured (e.g., via `~/.pypirc` or environment variables `TWINE_USERNAME` and `TWINE_PASSWORD`).


**Usage (Windows PowerShell):**
```powershell
# Bump patch version and publish
.\publish.ps1 patch

Usage (Bash):

# Bump patch version and publish
./publish.sh patch

To test the build process without uploading, use the -DryRun (PS) or --dry-run (Bash) flag:

.\publish.ps1 patch -DryRun
# or
./publish.sh patch --dry-run

from github.com/fritzprix/fred-mcp

Install Fred in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install fred-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add fred-mcp -- uvx fred-data-mcp

FAQ

Is Fred MCP free?

Yes, Fred MCP is free — one-click install via Unyly at no cost.

Does Fred need an API key?

No, Fred runs without API keys or environment variables.

Is Fred hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Fred in Claude Desktop, Claude Code or Cursor?

Open Fred on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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