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Federal Reserve Economic Data (FRED)

MCP server for accessing FRED (Federal Reserve Economic Data) API

Unclaimed AGPL-3.0 last commit 6 months ago devtools
80Excellent

Scored 17 days ago · breakdown

About Federal Reserve Economic Data (FRED)

Federal Reserve Economic Data (FRED) is an MCP server published by stefanoamorelli in the Developer Tools category: mCP server for accessing FRED (Federal Reserve Economic Data) API. It has been installed 0 times through Conduid.

The repository has 65 stars and 15 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx fred-mcp-server
uvx
uvx fred-mcp-server
pip
pip install fred-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v1.2.0v1.2.0 · 20 Aug 2026This release ships the Streamable HTTP transport (from the unpublished 1.1.0) together with scalability hardening across the request path and HTTP server. Added Client-side rate limiting: a token bucket matching FRED's 120 requests/minute…
v1.0.2Release v1.0.2 · 16 Sep 2025What's Changed Added MCP registry token files to .gitignore to prevent accidental commits Bumped package version to 1.0.2 Updated server.json version to match package.json Updated TypeScript source implementation Improvements Enhanced…
v1.0.1FRED MCP Server - Release v1.0.1 · 13 Sep 2025What's Changed Added social media shoutouts section to README Fixed screenshot display issue Minor documentation improvements Contributors @stefanoamorelli @sgoley Full Changelog**:…
v1.0.0v1.0.0 - Federal Reserve Economic Data (FRED) MCP Server · 15 Aug 2025🎉 v1.0.0 - Universal FRED Access 🚨 Breaking Changes This is a complete rewrite of the FRED MCP Server API: Replaced 20+ individual series tools with 3 comprehensive tools New tools: `fred_browse`, `fred_search`, `fred_get_series` Access to…
v0.4.1Federal Reserve Economic Data - MCP Server- v0.4.1 · 19 May 2025Changes Added test suite and comprehensive test coverage; Added `SECURITY.md` file; Added missing `LICENSE` file. Full Changelog**: https://github.com/stefanoamorelli/fred-mcp-server/compare/v0.4.0...v0.4.1

README

Federal Reserve Economic Data MCP Server

smithery badge npm version DOI Tests Documentation

[!IMPORTANT] Disclaimer: This open-source project is not affiliated with, sponsored by, or endorsed by the Federal Reserve or the Federal Reserve Bank of St. Louis. "FRED" is a registered trademark of the Federal Reserve Bank of St. Louis, used here for descriptive purposes only.

A Model Context Protocol (MCP) server providing universal access to all 800,000+ Federal Reserve Economic Data (FRED®) time series through three powerful tools.

https://github.com/user-attachments/assets/66c7f3ad-7b0e-4930-b1c5-a675a7eb1e09

[!TIP] If you use this project in your research or work, please cite it using the CITATION.cff file, or use the following citation:

APA Format:

Amorelli, S. (2025). Federal Reserve Economic Data MCP (Model Context Protocol) Server (Version 1.0.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.14536707

BibTeX:

@software{amorelli_2025_14536707,
  author       = {Amorelli, Stefano},
  title        = {{Federal Reserve Economic Data MCP (Model Context
                   Protocol) Server}},
  month        = jan,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {1.0.2},
  doi          = {10.5281/zenodo.14536707},
  url          = {https://doi.org/10.5281/zenodo.14536707}
}

Installation

Installing via Smithery

To install Federal Reserve Economic Data Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @stefanoamorelli/fred-mcp-server --client claude

Manual Installation

  1. Clone the repository:
    git clone https://github.com/stefanoamorelli/fred-mcp-server.git
    cd fred-mcp-server
    
  2. Install dependencies:
    pnpm install
    
  3. Build the project:
    pnpm build
    

Configuration

This server requires a FRED® API key. You can obtain one from the FRED® website.

Install the server, for example, on Claude Desktop, modify the claude_desktop_config.json file and add the following configuration:

{
  "mcpServers": {
    "FRED MCP Server": {
      "command": "/usr/bin/node",
      "args": [
        "<PATH_TO_YOUR_CLONED_REPO>/fred-mcp-server/build/index.js"
      ],
      "env": {
        "FRED_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

Using Docker

You can also run the FRED MCP Server using Docker. Add this configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "fred-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "FRED_API_KEY=<your-key-here>",
        "stefanoamorelli/fred-mcp-server:latest"
      ],
      "env": {}
    }
  }
}

Replace <your-key-here> with your actual FRED API key.

Using Streamable HTTP Transport

For network deployments, you can run the server with Streamable HTTP transport instead of stdio:

# Using CLI flag
node build/index.js --http

# Or using environment variable
TRANSPORT=http node build/index.js

# Custom port (default is 3000)
PORT=8080 node build/index.js --http

The server will be available at http://localhost:3000/mcp (or your custom port).

Example client request:

# Initialize session
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"my-client","version":"1.0.0"}}}'

# Use the mcp-session-id from the response header for subsequent requests
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: <session-id-from-init>" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'

Available Tools

This MCP server provides three comprehensive tools to access all 800,000+ FRED® economic data series:

fred_browse

Description: Browse FRED's complete catalog through categories, releases, or sources.

Parameters:

  • browse_type (required): Type of browsing - "categories", "releases", "sources", "category_series", "release_series"
  • category_id (optional): Category ID for browsing subcategories or series within a category
  • release_id (optional): Release ID for browsing series within a release
  • limit (optional): Maximum number of results (default: 50)
  • offset (optional): Number of results to skip for pagination
  • order_by (optional): Field to order results by
  • sort_order (optional): "asc" or "desc"

fred_search

Description: Search for FRED economic data series by keywords, tags, or filters.

Parameters:

  • search_text (optional): Text to search for in series titles and descriptions
  • search_type (optional): "full_text" or "series_id"
  • tag_names (optional): Comma-separated list of tag names to filter by
  • exclude_tag_names (optional): Comma-separated list of tag names to exclude
  • limit (optional): Maximum number of results (default: 25)
  • offset (optional): Number of results to skip for pagination
  • order_by (optional): Field to order by (e.g., "popularity", "last_updated")
  • sort_order (optional): "asc" or "desc"
  • filter_variable (optional): Filter by "frequency", "units", or "seasonal_adjustment"
  • filter_value (optional): Value to filter the variable by

fred_get_series

Description: Retrieve data for any FRED series by its ID with support for transformations and date ranges.

Parameters:

  • series_id (required): The FRED series ID (e.g., "GDP", "UNRATE", "CPIAUCSL")
  • observation_start (optional): Start date in YYYY-MM-DD format
  • observation_end (optional): End date in YYYY-MM-DD format
  • limit (optional): Maximum number of observations
  • offset (optional): Number of observations to skip
  • sort_order (optional): "asc" or "desc"
  • units (optional): Data transformation:
    • "lin" (levels/no transformation)
    • "chg" (change from previous period)
    • "ch1" (change from year ago)
    • "pch" (percent change)
    • "pc1" (percent change from year ago)
    • "pca" (compounded annual rate of change)
    • "cch" (continuously compounded rate of change)
    • "log" (natural log)
  • frequency (optional): Frequency aggregation ("d", "w", "m", "q", "a")
  • aggregation_method (optional): "avg" (average), "sum", or "eop" (end of period)

Example Usage

With these three tools, you can:

  • Browse all economic categories and discover available data
  • Search for specific indicators by keywords or tags
  • Retrieve any of the 800,000+ series with custom transformations
  • Access real-time economic data including GDP, unemployment, inflation, interest rates, and more

Social Media Shoutouts 📣

[!NOTE] Want to be featured? Tag Stefano Amorelli on LinkedIn or @stefanoamorelli on X in your post about using FRED MCP Server, or submit a PR to add your shoutout!

We're grateful for the community support! Here are some mentions from amazing people:

Testing

See TESTING.md for more details.

# Run all tests
pnpm test

# Run specific tests
pnpm test:registry

License ⚖️

This open-source project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). This means:

  • You can use, modify, and distribute this software
  • If you modify and distribute it, you must release your changes under AGPL-3.0
  • If you run a modified version on a server, you must provide the source code to users
  • See the LICENSE file for full details

For commercial licensing options or other licensing inquiries, please contact stefano@amorelli.tech.

© 2025 Stefano Amorelli

README mirrored from the source repository 17 days ago. The original is authoritative.

Questions

About Federal Reserve Economic Data (FRED)

How do I install Federal Reserve Economic Data (FRED)?

Run npx fred-mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Federal Reserve Economic Data (FRED) safe to use with an AI agent?

Its trust score is 80 out of 100 (excellent). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Federal Reserve Economic Data (FRED) still maintained?

Yes — the latest release is v1.2.0 (20 Aug 2026), and the last commit was 6 months ago. The repository has 65 stars and 0 open issues.