FRED

概要

FRED acts as a Model Context Protocol server, enabling AI assistants like Claude to seamlessly interact with the Federal Reserve Economic Data (FRED) API. It offers extensive coverage of FRED endpoints, intelligently managing large datasets by automatically saving them to project-based storage or processing them asynchronously to prevent context overflow. Designed for efficiency and accuracy, it ensures type safety with Pydantic validation and supports multiple transports for both local and remote usage, making economic data accessible and manageable for advanced analysis.

主な機能

• Intelligent data handling with conservative token estimation to prevent context overflow
• Asynchronous job processing for very large datasets (over 10,000 observations)
• Comprehensive coverage of 50+ FRED API endpoints across 12 MCP tools
• Full Pydantic validation ensuring type safety for all inputs and outputs
• Organized project-based storage for all economic data
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ユースケース

• Fetching specific economic indicators, such as GDP observations for a defined period, and organizing them into named projects.
• Retrieving and processing very large historical datasets, like all unemployment observations since 1948, through background jobs.
• Integrating real-time and historical economic data into AI assistant workflows for analysis and reporting.