FRED
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Alternatives to FRED
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Related Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP server that wraps the Federal Reserve Economic Data (FRED) API, providing access to over 800,000 economic time series like GDP and unemployment. It enables AI agents to search for data, retrieve metadata, and fetch historical observations directly from the St. Louis Fed.-
- FlicenseNot gradedqualityDmaintenanceEconomic data MCP server that connects FRED, BLS, BEA, IMF, World Bank, and ECB to any MCP-compatible client, with built-in methodology rules to guide LLMs in selecting appropriate economic indicators.-
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides access to Federal Reserve Economic Data (FRED), enabling users to retrieve, analyze, and compare economic indicators and time series data through natural language.2-
- AlicenseBqualityCmaintenanceAn MCP server that provides economic intelligence using FRED data, including series search, metadata, observations, comparisons, and a curated macroeconomic knowledge graph with GraphRAG, digital twin simulation, and explainability.13MIT
- AlicenseNot gradedqualityFmaintenanceA comprehensive MCP server providing access to all FRED API endpoints with intelligent large data handling, project-based storage, and async job processing for AI assistants like Claude.MIT
- AlicenseBqualityDmaintenanceIntegrates the FRED (Federal Reserve Economic Data) API with MCP, enabling AI assistants to retrieve economic time series data such as GDP, inflation, and interest rates.1MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: search_series discovers series IDs, get_series_info retrieves metadata for a known series, and get_observations fetches time-series data. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern: search_series, get_series_info, get_observations. The verbs are specific and the objects are clear, making the naming predictable and readable.
With only three tools, the server is tightly scoped for its purpose of accessing FRED economic data. Each tool fills an essential role in the workflow—search, metadata, and observations—without unnecessary additions.
The tool set fully covers the core workflow for a read-only economic data API: discover series via search, understand a series via metadata, and retrieve its values. No obvious gaps exist for the stated domain; all necessary operations for accessing FRED data are present.