MCP server for Federal Reserve Economic Data (FRED)
Project description
FRED MCP Server
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
Project details
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