fred-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search the live FRED series catalog and retrieve historical economic observations so they can answer economic questions with real Federal Reserve data.1Creative Commons Zero v1.0 Universal
- AlicenseNot gradedqualityBmaintenanceEnables querying Federal Reserve Economic Data (FRED) via tools for searching series, retrieving series metadata, and fetching time series observations, covering over 800,000 economic indicators.504 npmMIT
- AlicenseAqualityCmaintenanceEnables LLM agents to query US macroeconomic time series from FRED, including GDP, CPI, unemployment, and interest rates, for contextual research.6MIT
- AlicenseNot gradedqualityAmaintenanceProvides AI agents with universal access to all 800,000+ Federal Reserve economic time series, letting them browse categories, releases, and sources, search series by keywords, tags, or filters, and retrieve any series with date ranges, units transformations, frequency aggregation, and pagination.360 npmAGPL 3.0
- FlicenseAqualityDmaintenanceEnables searching and retrieving economic data from the Federal Reserve Economic Data (FRED) API, including time series, categories, releases, and popular indicators.71-
- AlicenseAqualityDmaintenanceEnables users to search, retrieve, and explore economic data series from the Federal Reserve Economic Data (FRED) API using natural language.11MIT
TDQS
Scored across 9 tools
Each tool targets a distinct operation on FRED data: search, metadata, observations, latest value, revision history, vintage dates, as-of data, release calendar, and multiple series comparison. No two tools overlap in purpose.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_observations, search_series). No mixing of conventions or ambiguous verbs.
9 tools cover the essential FRED API operations without being excessive. The count is well-scoped for an agent to effectively interact with economic data.
The set covers the full lifecycle: search and discovery, metadata retrieval, raw data access, revision history, vintage snapshots, release dates, and cross-series comparison. No critical operations are missing for typical use cases.