fred-mcp-server — MCP Server by stefanoamorelli

by stefanoamorelli · MCP Server · ★ 87

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About fred-mcp-server

Federal Reserve Economic Data MCP Server [!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 () 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 [CITATIO

datadata-analysis-projectfinancefinancial-analysisgenaillmmcpmcp-servermodel-context-protocolmodel-context-protocol-server

Quick Facts

Stars87
Forks28
LanguageTypeScript
CategoryMCP Server
LicenseAGPL-3.0
Quality Score41.7/100
Open Issues2
Last Updated2026-05-08
Created2025-05-11
Platformsmcp, node
Est. Tokens~79k

Compatible Skills

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Frequently Asked Questions

What is fred-mcp-server?

fred-mcp-server is Open-source FRED MCP Server (Federal Reserve Economic Data). It is categorized as a MCP Server with 87 GitHub stars.

What programming language is fred-mcp-server written in?

fred-mcp-server is primarily written in TypeScript. It covers topics such as data, data-analysis-project, finance.

How do I install or use fred-mcp-server?

You can find installation instructions and usage details in the fred-mcp-server GitHub repository at github.com/stefanoamorelli/fred-mcp-server. The project has 87 stars and 28 forks, indicating an active community.

What license does fred-mcp-server use?

fred-mcp-server is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to fred-mcp-server?

The top alternatives to fred-mcp-server on Agent Skills Hub include korean-dart-mcp, mcp-streamable-http, mcp-trader. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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