FRED MCP Server
Related Servers
Alternatives to FRED MCP Server
No user-submitted related servers found.
Related Servers
- 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-
- 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 gradedqualityDmaintenanceFastMCP server for querying FRED financial and macroeconomic data, providing tools to search and retrieve economic indicators.-
- AlicenseCqualityDmaintenanceProvides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol, allowing AI assistants to retrieve economic time series data directly.16MIT
- 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
- FlicenseAqualityDmaintenanceA local MCP server that gives Claude and other MCP clients access to Federal Reserve Economic Data (FRED) — 800,000+ economic time series covering GDP, inflation, employment, interest rates, and more.32-
TDQS
Scored across 2 tools
The two tools have distinct purposes: 'search' is for finding data series, while 'series' is for retrieving observations for a specific series. There is minimal overlap, though the 'advanced options' in both descriptions could cause slight confusion if not detailed further, but the core functions are clearly separated.
Both tool names are single, lowercase nouns ('search' and 'series'), which is consistent and simple. There are no mixed conventions or deviations, making the naming pattern predictable and easy to understand.
With only 2 tools, the server feels thin for a data service like FRED, which typically involves more operations such as listing categories, getting metadata, or managing favorites. This limited set may hinder agents from performing comprehensive tasks in the domain.
The tool surface is severely incomplete for a FRED server. It lacks essential operations like listing available series categories, retrieving series metadata, or supporting updates and deletions. Agents will face significant gaps when trying to navigate or manipulate FRED data beyond basic search and observation retrieval.